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W7137881281 | https://openalex.org/W7137881281 | https://doi.org/10.3390/met16030336 | Microstructure, Mechanical Properties, and Gamma-Ray Shielding of a High-Density W-Ni-Fe Alloy: Effects of Liquid-Phase Sintering Parameters | 2,026 | 2026-03-17 | article | 0 | Metals | Materials Science | Materials Chemistry | Engineering | Materials Science | Radiation Shielding Materials Analysis | Fusion materials and technologies | Advanced materials and composites | Sintering | Ultimate tensile strength | Microstructure | Tungsten | Alloy | Elongation | Electromagnetic shielding | Creep | 5 | A5129711886 | A5119667689 | A5129658733 | A5013453984 | A5038420325 | Chen Liu | Dewen Tang | Wei Men | Ju Wu | C.H. Fu | CN | expanded | expanded | expanded_foundation_models | null | Microstructure, Mechanical Properties, and Gamma-Ray Shielding of a High-Density W-Ni-Fe Alloy: Effects of Liquid-Phase Sintering Parameters This study investigates the development of a high-density W-Ni-Fe alloy using liquid-phase sintering and examines its microstructure and mechanical properties. Critical parameters... |
W7128047282 | https://openalex.org/W7128047282 | https://doi.org/10.20944/preprints202602.0225.v1 | Thermally Activated Acoustic Relaxation in Nanostructured and Ultrafine-Grained Titanium | 2,026 | 2026-02-04 | preprint | 0 | Preprints.org | Materials Science | Materials Chemistry | Engineering | Materials Science | Microstructure and mechanical properties | Electromagnetic Effects on Materials | Titanium Alloys Microstructure and Properties | Nanocrystalline material | Dislocation | Grain size | Annealing (glass) | Titanium | Relaxation (psychology) | Deformation (meteorology) | Atmospheric temperature range | Severe plastic deformation | 11 | A5023209469 | A5006012737 | A5125152295 | A5125106079 | A5125187125 | A5005102744 | A5065715683 | A5125200420 | A5125192115 | A5125204455 | A5125243987 | Yu. A. Semerenko | В. Д. Нацик | Nikolai Galtsov | Diana Hurova | Tamara Bednarchuk | Peter Zinoviev | V. N. Zoryansky | V. А. Moskalenko | Ruslan Smolianets | Alexander Smirnov | Yuliya Pohribnaya | Nataly Aksenova | null | expanded | expanded | expanded_foundation_models | null | Thermally Activated Acoustic Relaxation in Nanostructured and Ultrafine-Grained Titanium In the range of 5-325 K, the temperature dependence of acoustic properties - absorption and dynamic Young’s modulus - was studied in nanocrystalline and fine-crystalline technical purity titanium VT1-0. Measurements were performed ... |
W7118301913 | https://openalex.org/W7118301913 | https://doi.org/10.1002/lpor.202502168 | Bilayer Metasurfaces for Angular Control of Light | 2,026 | 2026-01-07 | article | 0 | Laser & Photonics Review | Materials Science | Electronic, Optical and Magnetic Materials | Engineering | Materials Science | Metamaterials and Metasurfaces Applications | Plasmonic and Surface Plasmon Research | Advanced Antenna and Metasurface Technologies | Bilayer | Band-pass filter | Coupling (piping) | Filter (signal processing) | Transmission (telecommunications) | Noise (video) | Enhanced Data Rates for GSM Evolution | Holography | 3 | A5122227411 | A5007851197 | A5030316044 | Nicholas Gaitanis | Arka Majumdar | Michele Cotrufo | US | expanded | expanded | expanded_foundation_models | null | Bilayer Metasurfaces for Angular Control of Light ABSTRACT Compound meta‐optics – devices made of multiple stacked metasurfaces – allow overcoming many of the limitations of single‐layer meta‐optics. However, designing multi‐layer devices to obtain desired and complex functionalities is often challenging, due to the in... |
W7129110497 | https://openalex.org/W7129110497 | https://doi.org/10.3390/ceramics9020025 | Experimental and Numerical Study on the Mechanical Properties of Alumina Ceramics Based on a Modified SHPB Setup | 2,026 | 2026-02-16 | article | 0 | Ceramics | Materials Science | Materials Chemistry | Materials Science | High-Velocity Impact and Material Behavior | Advanced ceramic materials synthesis | Boron and Carbon Nanomaterials Research | Split-Hopkinson pressure bar | Ceramic | Compressive strength | Modulus | Alumina ceramic | Elastic modulus | Hardening (computing) | Strain rate | Strain hardening exponent | 6 | A5051852456 | A5072590490 | A5126118190 | A5100375979 | A5079101272 | A5100581825 | Chang Liu | Baozhen Chen | Yuanpeng Sun | Yuxuan Wang | Kerui Xie | Xinbo Chen | CN | expanded | expanded | expanded_foundation_models | null | Experimental and Numerical Study on the Mechanical Properties of Alumina Ceramics Based on a Modified SHPB Setup In response to the high stiffness and hardness levels of alumina ceramic materials, the traditional SHPB (split Hopkinson pressure bar) experimental setup has been modified. This study analyzes the propagati... |
W7128587492 | https://openalex.org/W7128587492 | https://doi.org/10.3390/foods15040648 | Effect of Combined Pretreatments on Yield and Quality of Cold-Pressed Pomegranate Seed Oil | 2,026 | 2026-02-11 | article | 0 | Foods | Chemistry | Organic Chemistry | Chemistry | Nursing | Edible Oils Quality and Analysis | Pomegranate: compositions and health benefits | Nuts composition and effects | Lipase | Peroxide value | Roasting | Yield (engineering) | Acid value | Fatty acid | Carotenoid | Extraction (chemistry) | Point of delivery | 2 | A5125617266 | A5023270242 | Sena Nur Karakaya | S. Yusra Özkılıç | Derya Arslan | TR | expanded | expanded | expanded_foundation_models | null | Effect of Combined Pretreatments on Yield and Quality of Cold-Pressed Pomegranate Seed Oil In this study, the effects of combined thermal and biochemical pretreatments on the yield and quality of cold-pressed pomegranate seed oil (PSO) were systematically investigated. Convective and microwave roasting were applied ind... |
W7153669789 | https://openalex.org/W7153669789 | null | Mode-coupling theory for aging in active glasses: relaxation dynamics and evolution towards steady state | 2,026 | 2026-04-09 | article | 0 | arXiv (Cornell University) | Materials Science | Materials Chemistry | Chemistry | Materials Science | Physics and Astronomy | Material Dynamics and Properties | Micro and Nano Robotics | Advanced Physical and Chemical Molecular Interactions | Steady state (chemistry) | Dynamics (music) | Relaxation (psychology) | Work (physics) | Function (biology) | Time evolution | 3 | A5106542678 | A5133395722 | A5037330812 | Soumitra Kolya | Nir S. Gov | Saroj Kumar Nandi | null | expanded | expanded | expanded_foundation_models | robotics_automation | Mode-coupling theory for aging in active glasses: relaxation dynamics and evolution towards steady state Aging refers to the evolution of system properties with waiting time $t_w$. It is a key feature of glassy dynamics. Recent experiments have demonstrated aging in biological systems that are inherently active with a ... |
W7133570304 | https://openalex.org/W7133570304 | null | A composite electron-lattice order: electronic nematicity of 2DEG and polarization density waves at a near-ferroelectric interface | 2,026 | 2026-03-03 | article | 0 | arXiv (Cornell University) | Materials Science | Materials Chemistry | Materials Science | Physics and Astronomy | Electronic and Structural Properties of Oxides | Topological Materials and Phenomena | Organic and Molecular Conductors Research | Quasiparticle | Polarization (electrochemistry) | Anisotropy | Liquid crystal | Composite number | Lattice (music) | Ferroelectricity | Electric field | 3 | A5128118837 | A5128041781 | A5128047441 | Fei Yang | Zhi-Yang Wang | Long-Qing Chen | null | expanded | expanded | expanded_foundation_models | null | A composite electron-lattice order: electronic nematicity of 2DEG and polarization density waves at a near-ferroelectric interface We consider a two-dimensional electron gas (2DEG) formed at a near-ferroelectric interface and strongly coupled to polar phonons. Through a self-consistent microscopic many-body calculation... |
W7141169243 | https://openalex.org/W7141169243 | https://doi.org/10.3897/nucet.12.191451 | The use of MOX fuel in BN-800 reactor | 2,026 | 2026-03-27 | article | 0 | Nuclear Energy and Technology | Materials Science | Materials Chemistry | Engineering | Environmental Science | Materials Science | Nuclear Materials and Properties | Chemical Synthesis and Characterization | Nuclear reactor physics and engineering | MOX fuel | Plutonium | Cladding (metalworking) | Uranium | Burnup | Nuclear fuel | Nuclear reactor core | Spent nuclear fuel | Enriched uranium | 7 | A5130759102 | A5108835297 | A5130763158 | A5130778461 | A5130768534 | A5130810200 | A5130790127 | Boris A. Vasilyev | Alexandr Kryukov | Mansur R. Farakshin | Sergei B. Belov | Vladimir S. Sheryakov | Artem E. Kuznetsov | Ilia A. Filin | null | expanded | expanded | expanded_foundation_models | null | The use of MOX fuel in BN-800 reactor In accordance with the strategy for the development of two-component nuclear energy with NFC closure adopted in the Russian Federation, fast neutron reactors must ensure the effective use of mixed uranium-plutonium fuel based on plutonium extracted from SNF of thermal reactors, and... |
W7139146639 | https://openalex.org/W7139146639 | null | A Highly Sensitive Diamond NV Magnetometer Using Ramsey Interferometry with a Short Sensor-to-Sample Distance | 2,026 | 2026-03-14 | article | 0 | ArXiv.org | Materials Science | Materials Chemistry | Engineering | Materials Science | Physics and Astronomy | Diamond and Carbon-based Materials Research | Atomic and Subatomic Physics Research | Magnetic Field Sensors Techniques | Magnetometer | Diamond | Interferometry | Laser | SIGNAL (programming language) | Sensitivity (control systems) | Magnetic field | Imaging phantom | 14 | A5129720043 | A5102016022 | A5129929723 | A5015785719 | A5129844408 | A5129804608 | A5130006942 | A5120941075 | A5129973074 | A5129938687 | A5130211977 | A5129949929 | A5037233142 | A5066549515 | Yuta Araki | T. Sekiguchi | Yuji Hatano | Naota Sekiguchi | Chikara Shinei | Masashi Miyakawa | Takashi Taniguchi | Tokuyuki Teraji | Hiroshi Abe | Shinobu Onoda | Takeshi Ohshima | Takayuki Shibata | Mutsuko Hatano | Takayuki Iwasaki | null | expanded | expanded | expanded_foundation_models | null | A Highly Sensitive Diamond NV Magnetometer Using Ramsey Interferometry with a Short Sensor-to-Sample Distance In this study, we developed a diamond quantum magnetometer based on Ramsey interferometry with a short sensor-to-sample distance. Conventional biomagnetic sensors with ensemble nitrogen-vacancy centers using co... |
W7130481999 | https://openalex.org/W7130481999 | null | Extending numerical simulations in SIMPSON: Electron paramagnetic resonance, dynamic nuclear polarisation, propagator splitting, pulse transients, and quadrupolar cross terms | 2,026 | 2026-02-17 | article | 0 | ArXiv.org | Chemistry | Spectroscopy | Biochemistry, Genetics and Molecular Biology | Chemistry | Physics and Astronomy | Advanced NMR Techniques and Applications | Electron Spin Resonance Studies | NMR spectroscopy and applications | Propagator | Pulse (music) | Pulse sequence | Interpretation (philosophy) | Resonance (particle physics) | Operator (biology) | Spin (aerodynamics) | Phase (matter) | 7 | A5126348908 | A5064960059 | A5070444724 | A5057004063 | A5056545657 | A5082967525 | A5122575155 | David L. Goodwin | José P. Carvalho | Anders B. Nielsen | Nino Wili | Thomas Vosegaard | Zdeněk Tošner | Niels Chr. Nielsen | null | expanded | expanded | expanded_foundation_models | null | Extending numerical simulations in SIMPSON: Electron paramagnetic resonance, dynamic nuclear polarisation, propagator splitting, pulse transients, and quadrupolar cross terms Aimed at the simulation, design, and interpretation of advanced pulse experiments crossing the boundaries between nuclear magnetic resonance (NMR... |
W7127337912 | https://openalex.org/W7127337912 | https://doi.org/10.1039/d5cp04781a | Generalised level anticrossings explain improved <sup>19</sup> F SABRE hyperpolarisation under oscillating magnetic fields | 2,026 | 2026-01-01 | article | 0 | Physical Chemistry Chemical Physics | Chemistry | Spectroscopy | Chemistry | Physics and Astronomy | Advanced NMR Techniques and Applications | Atomic and Subatomic Physics Research | NMR spectroscopy and applications | Work (physics) | Scalar (mathematics) | Magnetic field | Relaxation (psychology) | Field (mathematics) | Dynamics (music) | SIGNAL (programming language) | Transfer (computing) | 5 | A5117819077 | A5074396513 | A5124893383 | A5081987438 | A5083478515 | Joni Eronen | Perttu Hilla | Vladimir V. Zhivonitko | Juha Vaara | Anu M. Kantola | FI | expanded | expanded | expanded_foundation_models | null | Generalised level anticrossings explain improved <sup>19</sup> F SABRE hyperpolarisation under oscillating magnetic fields Signal amplification by reversible exchange (SABRE) is a parahydrogen-based hyperpolarisation technique that significantly enhances nuclear magnetic resonance signals without the use of expensive h... |
W7131349947 | https://openalex.org/W7131349947 | https://doi.org/10.1093/gbe/evag036 | Evolution of Highly Repetitive Silk Genes in the Luna Moth, <i>Actias luna</i> | 2,026 | 2026-02-25 | article | 0 | Genome Biology and Evolution | Materials Science | Biomaterials | Agricultural and Biological Sciences | Materials Science | Neuroscience | Silk-based biomaterials and applications | Silkworms and Sericulture Research | Neurobiology and Insect Physiology Research | Sericin | Gene | Fibroin | SILK | Gene duplication | Molecular evolution | Phenotype | Gene family | 7 | A5008711318 | A5022805609 | A5059389526 | A5043942506 | A5044551702 | A5067212030 | A5108251280 | Bert Foquet | Lauren E. Eccles | Amanda Markee | Deborah A. Triant | Paul B. Frandsen | Whitney L. Stoppel | Akito Y. Kawahara | US | expanded | expanded | expanded_foundation_models | null | Evolution of Highly Repetitive Silk Genes in the Luna Moth, <i>Actias luna</i> Gene duplications are a major driver of molecular diversification and phenotypic evolution. Arthropod silk genes provide an excellent model for studying these processes due to their extensive internal repeats and rapid evolutionary rates. In... |
W7131874275 | https://openalex.org/W7131874275 | https://doi.org/10.3390/mi17030295 | Shear Instability Control of Hybrid Small-Scale Plates Embedded in a Polymer Matrix via Shape Memory Alloy Nanofibers | 2,026 | 2026-02-27 | article | 0 | Micromachines | Materials Science | Materials Chemistry | Engineering | Materials Science | Shape Memory Alloy Transformations | Nonlocal and gradient elasticity in micro/nano structures | Composite Structure Analysis and Optimization | Shape-memory alloy | Volume fraction | Instability | SMA* | Nanofiber | Shear (geology) | Polymer | 4 | A5071628534 | A5063315579 | A5007102957 | A5085923158 | Mohammad Reza Farajpour | Mohammad Danesh | Mohammad Hossein Shokrani | Ali Farajpour | IR | AU | expanded | expanded | expanded_foundation_models | null | Shear Instability Control of Hybrid Small-Scale Plates Embedded in a Polymer Matrix via Shape Memory Alloy Nanofibers A refined mathematical framework is developed to investigate the ability of shape memory alloy (SMA) nanofibers to control the shear instability of a hybrid small-scale plate made of three layers contai... |
W7132822451 | https://openalex.org/W7132822451 | https://doi.org/10.1021/acsnano.5c15772 | Construction and Regulation of a Nanometer–Femtosecond-Scale Spatiotemporally Localized Chiroptical Source in a Single Plasmonic Nanoantenna | 2,026 | 2026-02-28 | article | 0 | ACS Nano | Materials Science | Electronic, Optical and Magnetic Materials | Engineering | Materials Science | Physics and Astronomy | Metamaterials and Metasurfaces Applications | Plasmonic and Surface Plasmon Research | Orbital Angular Momentum in Optics | Plasmon | Nanophotonics | Chirality (physics) | Ultrashort pulse | Photonics | Interferometry | Photon | Quantum | Coherent control | 3 | A5009301284 | A5127531658 | A5069073933 | Shuai Zu | Quan Sun | Chunxiang Xu | H MISAWA | JP | CN | NO | US | TW | expanded | expanded | expanded_foundation_models | null | Construction and Regulation of a Nanometer–Femtosecond-Scale Spatiotemporally Localized Chiroptical Source in a Single Plasmonic Nanoantenna Achieving precise control over chiral light-matter interactions at the nanometer-femtosecond scale, where both spatial and temporal limits are approached, remains a central challe... |
W7149209957 | https://openalex.org/W7149209957 | null | Excitations across the equilibrium and photoinduced `hidden' states of magnetoresistive manganites | 2,026 | 2026-04-01 | article | 0 | ArXiv.org | Materials Science | Electronic, Optical and Magnetic Materials | Materials Science | Magnetic and transport properties of perovskites and related materials | Electronic and Structural Properties of Oxides | Chemical and Physical Properties of Materials | Polaron | Antiferromagnetism | Ultrashort pulse | Phase diagram | Ferromagnetism | Phase (matter) | Phase transition | Magnetoresistance | 19 | A5132734057 | A5132860583 | A5132747362 | A5002234451 | A5005498479 | A5008439042 | A5132905704 | A5071288115 | A5132840240 | A5132761011 | A5132830926 | A5132846944 | A5132871323 | A5021835069 | A5132737411 | A5059962903 | A5069248594 | A5132840061 | A5041431153 | Shiyu Fan | Feng Jin | Taehun Kim | Umesh Kumar | Zixun Zhang | V. K. Bhartiya | Jiemin Li | Brandon Yalin | Yanhong Gu | Mingqiang Gu | Wen Hu | Claudio Mazzoli | G. Lawrence Carr | O. S. Barišić | Andrey S. Mishchenko | Valentina Bisogni | Sobhit Singh | Wenbin Wu | Jonathan Pelliciari | null | expanded | expanded | expanded_foundation_models | null | Excitations across the equilibrium and photoinduced `hidden' states of magnetoresistive manganites "Hidden" phases, generated using ultrafast laser pulses (few hundred femtoseconds), with properties distinct from thermodynamic equilibrium, are appealing for technologies because they can be long-lived, with lifetimes of... |
W7154321551 | https://openalex.org/W7154321551 | https://doi.org/10.1038/s42005-026-02613-8 | Attaining physics-driven convolutional operators by architecture design | 2,026 | 2026-04-14 | article | 0 | Communications Physics | Materials Science | Materials Chemistry | Materials Science | Physics and Astronomy | Machine Learning in Materials Science | Model Reduction and Neural Networks | Quantum many-body systems | Convolutional neural network | Operator (biology) | Inference | Partial differential equation | Inverse problem | Key (lock) | Deep learning | 2 | A5036757330 | A5133590291 | Zhenhua Xiong | Pengyang Zhao | CN | expanded | expanded | expanded_foundation_models | ai_general | autonomous_discovery | bayesian_methods | machine_learning | neural_networks | Attaining physics-driven convolutional operators by architecture design Operator learning is key to leveraging artificial intelligence for scientific discovery by enabling the solution of partial differential equations that express core principles of physical modeling. However, conventional data-driven methods rely hea... |
W7140097057 | https://openalex.org/W7140097057 | https://doi.org/10.1007/s11229-026-05488-y | Establishing the philosophy of supersymmetry introduction to the topical collection | 2,026 | 2026-03-23 | article | 0 | Synthese | Materials Science | Materials Chemistry | Arts and Humanities | Earth and Planetary Sciences | Materials Science | Quasicrystal Structures and Properties | Evolution and Science Education | Earth Systems and Cosmic Evolution | Philosophy of science | Philosophy of language | Supersymmetry | Metaphysics | Superpartner | 3 | A5130326284 | A5129490300 | A5001706094 | Tushar Menon | Richard Dawid | Siska De Baerdemaeker | US | SE | expanded | expanded | expanded_foundation_models | null | Establishing the philosophy of supersymmetry introduction to the topical collection Philosophy of science ; Philosophy of language ; Supersymmetry ; Metaphysics ; Superpartner Quasicrystal Structures and Properties ; Evolution and Science Education ; Earth Systems and Cosmic Evolution |
W7124172683 | https://openalex.org/W7124172683 | https://doi.org/10.1007/s43452-025-01409-x | An exact closed-form solution for buckling of an elastically connected nano-size multi-bonded system subjected to axial load | 2,026 | 2026-01-14 | article | 0 | Archives of Civil and Mechanical Engineering | Materials Science | Materials Chemistry | Engineering | Materials Science | Nonlocal and gradient elasticity in micro/nano structures | Composite Structure Analysis and Optimization | Numerical methods in engineering | Buckling | Parametric statistics | Stiffness | Boundary value problem | Correctness | Critical load | Differential equation | Deformation (meteorology) | Shear (geology) | 3 | A5123031440 | A5123040577 | A5011252592 | M. Soltani | M. H. Momenian | Ömer Cívalek | IR | TR | TW | expanded | expanded | expanded_foundation_models | null | An exact closed-form solution for buckling of an elastically connected nano-size multi-bonded system subjected to axial load Abstract This work’s primary objective is to create and demonstrate a low-cost computational technique and an easy-to-implement formulation for estimating buckling capacity of multiple parallel n... |
W7126393309 | https://openalex.org/W7126393309 | https://doi.org/10.3390/en19030762 | Convergent Annular Thermoelectric Generator with Fish-Fin-like Heat Exchange | 2,026 | 2026-02-01 | article | 0 | Energies | Materials Science | Materials Chemistry | Engineering | Materials Science | Physics and Astronomy | Advanced Thermoelectric Materials and Devices | Innovative Energy Harvesting Technologies | Advanced Thermodynamics and Statistical Mechanics | Thermoelectric generator | Thermoelectric effect | Energy conversion efficiency | Thermocouple | Heat exchanger | Thermal conduction | Thermal | Temperature gradient | Waste heat recovery unit | Thermal efficiency | 7 | A5124533284 | A5124508519 | A5124663036 | A5124468682 | A5011365599 | A5101438386 | A5124656878 | Ning Wang | Zirui Zhang | Jiahao Li | Jianxiang Cheng | hongzhi Jia | Bo Dai | Dawei Zhang | CL | expanded | expanded | expanded_foundation_models | null | Convergent Annular Thermoelectric Generator with Fish-Fin-like Heat Exchange To address the critical challenge of low thermoelectric conversion efficiency in high-temperature, highly turbulent waste heat recovery, a novel fish-fin convergent annular thermoelectric generator (FF-CATEG) device is proposed. An annular con... |
W7153524408 | https://openalex.org/W7153524408 | https://doi.org/10.1515/zkri-2025-0043 | Two-dimensional modulated structure in quenched Ga <sub>2</sub> Te <sub>3</sub> with the defect zincblende lattice | 2,026 | 2026-04-11 | article | 0 | Zeitschrift für Kristallographie - Crystalline Materials | Materials Science | Electronic, Optical and Magnetic Materials | Materials Science | Crystal Structures and Properties | Advanced Thermoelectric Materials and Devices | Iron-based superconductors research | Tetragonal crystal system | Crystal structure | Lattice (music) | Diffraction | Superspace | Semiconductor | Displacement (psychology) | 4 | A5133397437 | A5133418779 | A5103393234 | A5059437137 | Mitsugu Tadano | Kazuki Yamamoto | Akiji Yamamoto | Shoji Kashida | JP | expanded | expanded | expanded_foundation_models | null | Two-dimensional modulated structure in quenched Ga <sub>2</sub> Te <sub>3</sub> with the defect zincblende lattice Abstract Ga 2 Se 3 and Ga 2 Te 3 crystallize to the cubic zincblende structure, where 1/3 of the cation sites are vacant. Semiconductors with large concentrations of vacancies are actively studied due to t... |
W7152060743 | https://openalex.org/W7152060743 | https://doi.org/10.18154/rwth-2026-03874 | PASTA-ELN: Simplifying Research Data Management for Experimental Materials Science | 2,026 | 2026-01-01 | article | 0 | RWTH Publications (RWTH Aachen) | Materials Science | Materials Chemistry | Biochemistry, Genetics and Molecular Biology | Engineering | Materials Science | Machine Learning in Materials Science | Advanced Electron Microscopy Techniques and Applications | Advanced Materials Characterization Techniques | Experimental data | Data management | Field (mathematics) | Data collection | Data analysis | 3 | A5133234457 | A5133160407 | A5105829681 | S. Brinckmann | G. Winkens | Ruth Schwaiger | DE | expanded | expanded | expanded_foundation_models | machine_learning | PASTA-ELN: Simplifying Research Data Management for Experimental Materials Science Experimental data ; Data management ; Field (mathematics) ; Data collection ; Data analysis Machine Learning in Materials Science ; Advanced Electron Microscopy Techniques and Applications ; Advanced Materials Characterization Techniques |
W7149873996 | https://openalex.org/W7149873996 | null | Power laws, anisotropy and center-of-mass conservation in mass transport processes | 2,026 | 2026-04-02 | article | 0 | ArXiv.org | Materials Science | Materials Chemistry | Materials Science | Physics and Astronomy | Material Dynamics and Properties | Quantum many-body systems | Theoretical and Computational Physics | Anisotropy | Charge conservation | Power law | Non-equilibrium thermodynamics | Conservation law | Charge (physics) | Conservation of mass | Probability density function | 3 | A5043179432 | A5068126833 | A5083211916 | Aniket Samanta | Animesh Hazra | Punyabrata Pradhan | IN | expanded | expanded | expanded_foundation_models | null | Power laws, anisotropy and center-of-mass conservation in mass transport processes We present exact results for steady-state density correlation functions in conserved-mass transport processes with {\it anisotropic}, reflection-symmetric hopping on a $d-$dimensional hypercubic lattice. In addition to mass conservation,... |
W7154249303 | https://openalex.org/W7154249303 | https://doi.org/10.33545/26174693.2026.v10.i4se.8136 | Management of Stem bleeding disease caused by Thielviopsis paradoxa (de seyness) von Hohnel in coconut under In-vitro and field condition | 2,026 | 2026-04-01 | article | 0 | International Journal of Advanced Biochemistry Research | Chemistry | Inorganic Chemistry | Agricultural and Biological Sciences | Biochemistry, Genetics and Molecular Biology | Chemistry | Coconut Research and Applications | Plant Pathogens and Fungal Diseases | Cocoa and Sweet Potato Agronomy | Fungicide | Mancozeb | Carbendazim | Hexaconazole | Bordeaux mixture | Disease control | 6 | A5031938398 | A5130356398 | A5101291303 | A5133623852 | A5133622461 | A5133560971 | Kiran KC | Jagadeesha SK | Vinayak Hegde | Maheshwarappa HP | Swetha . | Govardahan Rao | null | expanded | expanded | expanded_foundation_models | null | Management of Stem bleeding disease caused by Thielviopsis paradoxa (de seyness) von Hohnel in coconut under In-vitro and field condition Coconuts Stem bleeding disease caused by Thielaviopsis paradoxa is an important disease of coconut in India, especially in states of southern India (Kerala, Karnataka, Andra pradesh ... |
W7124712446 | https://openalex.org/W7124712446 | https://doi.org/10.3897/arphapreprints.e185559 | Redescription of the osteology and systematic of Panguraptor lufengensis (Neotheropoda: Coelophysoidea) | 2,026 | 2026-01-19 | article | 0 | null | Materials Science | Biomaterials | Earth and Planetary Sciences | Environmental Science | Materials Science | Diatoms and Algae Research | Paleontology and Stratigraphy of Fossils | Marine Ecology and Invasive Species | Osteology | Autapomorphy | Holotype | Phylogenetic tree | Lineage (genetic) | 5 | A5107807857 | A5070867235 | A5123292507 | A5123307689 | A5123352440 | Zechuan Zhang | Qixing Dong | Tao Wang | Hailu You | Xunlian Wang | CN | expanded | expanded | expanded_foundation_models | null | Redescription of the osteology and systematic of Panguraptor lufengensis (Neotheropoda: Coelophysoidea) Panguraptor lufengensis You et al., 2014 is the first Coelophysoidea species that has been named in Asia. In previous studies, the description of holotype lacked anatomical details, leaving inadequate amounts of info... |
W7127624022 | https://openalex.org/W7127624022 | https://doi.org/10.1039/d5py01039j | A transfer learning framework integrating molecular dynamics and group contribution methods for predicting polymer specific heat capacity | 2,026 | 2026-01-01 | article | 0 | Polymer Chemistry | Materials Science | Materials Chemistry | Chemistry | Materials Science | Thermal properties of materials | Machine Learning in Materials Science | Advanced Physical and Chemical Molecular Interactions | Group (periodic table) | Scalability | Transfer of learning | Heat capacity | Molecular dynamics | Heat transfer | 3 | A5125063301 | A5125080139 | A5125012810 | Sobin Alosious | Jiaxin Xu | Meng Jiang | Tengfei Luo | US | expanded | expanded | expanded_reinforcement_learning | machine_learning | ml_potentials | A transfer learning framework integrating molecular dynamics and group contribution methods for predicting polymer specific heat capacity A multi-fidelity transfer learning framework integrates group contribution, molecular dynamics, and experimental data to enable accurate and scalable prediction of polymer specific h... |
W7130528671 | https://openalex.org/W7130528671 | https://doi.org/10.1016/j.patcog.2026.113319 | VitaMol: Lightweight molecular modality expansion in discrete space for multi-task transfer learning | 2,026 | 2026-02-19 | article | 0 | Pattern Recognition | Materials Science | Materials Chemistry | Computer Science | Materials Science | Machine Learning in Materials Science | Computational Drug Discovery Methods | Advanced Graph Neural Networks | Codebook | Pharmacophore | Chemical space | Property (philosophy) | Modality (human–computer interaction) | Transfer of learning | Computation | Modalities | 9 | A5126382432 | A5044809774 | A5126386291 | A5053260752 | A5126399234 | A5126428161 | A5126366180 | A5126440613 | A5126420087 | Yunfan Liu | Zhifeng Gao | Lirong Wu | Jingbo Zhou | Tongyue Xu | Cheng Tan | Yufei Huang | Changxi Chi | Chang Yu | Stan Z. Li | CN | expanded | expanded | expanded_reinforcement_learning | machine_learning | molecular_design | neural_networks | VitaMol: Lightweight molecular modality expansion in discrete space for multi-task transfer learning Codebook ; Pharmacophore ; Chemical space ; Property (philosophy) ; Modality (human–computer interaction) ; Transfer of learning ; Computation ; Modalities Machine Learning in Materials Science ; Computational Drug Disc... |
W7141711422 | https://openalex.org/W7141711422 | https://doi.org/10.2139/ssrn.6478024 | Efficient MACE Force Field Construction Based on Transfer Learning and Study on Short-Range Ordering Strengthening Mechanism in AlCoCrFeNi Alloys | 2,026 | 2026-01-01 | preprint | 0 | SSRN Electronic Journal | Materials Science | Materials Chemistry | Engineering | Materials Science | Machine Learning in Materials Science | Intermetallics and Advanced Alloy Properties | Microstructure and mechanical properties | Quinary | Lattice (music) | Thermal | Softening | Thermal expansion | Molecular dynamics | 2 | A5121244059 | A5130813295 | Angran Xia | YEMAO XIA | CN | expanded | expanded | expanded_reinforcement_learning | machine_learning | ml_potentials | Efficient MACE Force Field Construction Based on Transfer Learning and Study on Short-Range Ordering Strengthening Mechanism in AlCoCrFeNi Alloys Quinary ; Lattice (music) ; Thermal ; Softening ; Thermal expansion ; Molecular dynamics Machine Learning in Materials Science ; Intermetallics and Advanced Alloy Properties ... |
W7150230486 | https://openalex.org/W7150230486 | https://doi.org/10.1016/j.jelechem.2026.120106 | Electrochemical noise images and deep transfer learning based on corrosion types identification of AZ31 Mg alloy | 2,026 | 2026-04-06 | article | 0 | Journal of Electroanalytical Chemistry | Materials Science | Biomaterials | Materials Science | Magnesium Alloys: Properties and Applications | Hydrogen embrittlement and corrosion behaviors in metals | Titanium Alloys Microstructure and Properties | Electrochemical noise | Corrosion | Alloy | Electrochemistry | Identification (biology) | Noise (video) | 8 | A5132979869 | A5132973239 | A5132975735 | A5132972039 | A5132982194 | A5132974540 | A5132984179 | A5121300910 | Yutao Xue | Lirui Yang | Zhen Zhang | Zhanyong Zhao | Liqing Wang | Kai Ma | Yunlong Li | Peikang Bai | null | expanded | expanded | expanded_reinforcement_learning | machine_learning | Electrochemical noise images and deep transfer learning based on corrosion types identification of AZ31 Mg alloy Electrochemical noise ; Corrosion ; Alloy ; Electrochemistry ; Identification (biology) ; Noise (video) Magnesium Alloys: Properties and Applications ; Hydrogen embrittlement and corrosion behaviors in metal... |
W7154221167 | https://openalex.org/W7154221167 | https://doi.org/10.48550/arxiv.2604.11773 | Autonomous Diffractometry Enabled by Visual Reinforcement Learning | 2,026 | 2026-04-13 | preprint | 0 | arXiv (Cornell University) | Materials Science | Materials Chemistry | Biochemistry, Genetics and Molecular Biology | Materials Science | Machine Learning in Materials Science | Advanced Electron Microscopy Techniques and Applications | Electronic and Structural Properties of Oxides | Workflow | Automation | Reinforcement learning | Diffraction | Interpretation (philosophy) | Visualization | 10 | A5133621293 | A5133608759 | A5133585222 | A5133611012 | A5026892624 | A5133605579 | A5129886312 | A5133608140 | A5133590333 | A5133600930 | J. Oppliger | M. Stifter | A. Rüegg | I. Biało | Lucio Martinelli | P. G. Freeman | D. Prabhakaran | J. W. Zhao | Q. Daniel Wang | J. F. Chang | null | expanded | expanded | expanded_reinforcement_learning | ai_general | machine_learning | Autonomous Diffractometry Enabled by Visual Reinforcement Learning Automation underpins progress across scientific and industrial disciplines. Yet, automating tasks requiring interpretation of abstract visual information remain challenging. For example, crystal alignment strongly relies on humans with the ability to co... |
W7147676065 | https://openalex.org/W7147676065 | https://doi.org/10.1021/acsanm.6c00443 | Integrating Artificial Intelligence via Deep Reinforcement Learning for the Autonomous Discovery of High-Entropy Nanoclusters | 2,026 | 2026-04-01 | article | 0 | ACS Applied Nano Materials | Materials Science | Materials Chemistry | Energy | Engineering | Materials Science | Machine Learning in Materials Science | High Entropy Alloys Studies | Electrocatalysts for Energy Conversion | Reinforcement learning | Stability (learning theory) | Nanoclusters | Function (biology) | Cluster (spacecraft) | Potential energy surface | Molecular dynamics | Feature (linguistics) | Global optimization | 2 | A5132653511 | A5132661174 | Muhammad Umar Farooq | Fuyi Chen | CN | expanded | expanded | expanded_reinforcement_learning | ai_general | autonomous_discovery | machine_learning | ml_potentials | Integrating Artificial Intelligence via Deep Reinforcement Learning for the Autonomous Discovery of High-Entropy Nanoclusters The rational design and prediction of stable configurations for high-entropy alloy (HEA) nanoclusters present a formidable challenge due to the vast combinatorial space defined by size, shape, c... |
W7131620010 | https://openalex.org/W7131620010 | https://doi.org/10.5281/zenodo.18793019 | Multi-Objective Design of Electrolyte Solvents Via Physics-Based Modeling and Reinforcement Learning | 2,026 | 2026-02-26 | article | 0 | Open MIND | Materials Science | Materials Chemistry | Chemistry | Computer Science | Materials Science | Machine Learning in Materials Science | Computational Drug Discovery Methods | Crystallography and molecular interactions | Boiling point | Set (abstract data type) | Point (geometry) | Molecule | Boiling | Molecular dynamics | Space (punctuation) | Viscosity | Energy (signal processing) | 11 | A5123965703 | A5126883004 | A5041434247 | A5126897460 | A5126902189 | A5126891682 | A5022679148 | A5046775172 | A5085987298 | A5058216009 | A5077113582 | Mohammad Atif Faiz Afzal | Coscia,, Benjamin | Andrea Browning | Alexander Goldberg | Mathew Halls | Karl Leswing | Tsuguo Morisato | Hiroyuki Maeshima | Keisuke Hayashi | T. Ando | Nobuyuki Matsuzawa | null | expanded | expanded | expanded_reinforcement_learning | machine_learning | ml_potentials | molecular_design | Multi-Objective Design of Electrolyte Solvents Via Physics-Based Modeling and Reinforcement Learning BP_Model_Training_Data.csv: This file contains the molecular structures used to train the boiling point (BP) prediction models. The dataset includes canonical SMILES strings for each molecule, along with the experimenta... |
W7131673495 | https://openalex.org/W7131673495 | https://doi.org/10.5281/zenodo.18793020 | Multi-Objective Design of Electrolyte Solvents Via Physics-Based Modeling and Reinforcement Learning | 2,026 | 2026-02-26 | article | 0 | Zenodo (CERN European Organization for Nuclear Research) | Materials Science | Materials Chemistry | Chemistry | Computer Science | Materials Science | Machine Learning in Materials Science | Computational Drug Discovery Methods | Crystallography and molecular interactions | Boiling point | Set (abstract data type) | Point (geometry) | Molecule | Boiling | Molecular dynamics | Space (punctuation) | Viscosity | Energy (signal processing) | 11 | A5123965703 | A5126883004 | A5041434247 | A5126897460 | A5126902189 | A5126891682 | A5022679148 | A5046775172 | A5085987298 | A5058216009 | A5077113582 | Mohammad Atif Faiz Afzal | Coscia,, Benjamin | Andrea Browning | Alexander Goldberg | Mathew Halls | Karl Leswing | Tsuguo Morisato | Hiroyuki Maeshima | Keisuke Hayashi | T. Ando | Nobuyuki Matsuzawa | null | expanded | expanded | expanded_reinforcement_learning | machine_learning | ml_potentials | molecular_design | Multi-Objective Design of Electrolyte Solvents Via Physics-Based Modeling and Reinforcement Learning BP_Model_Training_Data.csv: This file contains the molecular structures used to train the boiling point (BP) prediction models. The dataset includes canonical SMILES strings for each molecule, along with the experimenta... |
W7154413559 | https://openalex.org/W7154413559 | https://doi.org/10.20944/preprints202602.1903.v2 | From Screening to Generative Design: Advances in ML-Assisted MOFs for Carbon Capture | 2,026 | 2026-04-14 | preprint | 0 | Preprints.org | Chemistry | Inorganic Chemistry | Chemical Engineering | Chemistry | Engineering | Metal-Organic Frameworks: Synthesis and Applications | Carbon Dioxide Capture Technologies | Carbon dioxide utilization in catalysis | Flexibility (engineering) | Generative grammar | Metric (unit) | Field (mathematics) | Generative model | Point (geometry) | Uncertainty quantification | Chemical space | 5 | A5133619805 | A5127103797 | A5127484452 | A5133626493 | A5121766560 | Muhammad Bilal | Faisal Latif | Muhammad Hasnain | Muhammad Ali | Raziya Nadeem | null | expanded | expanded | expanded_reinforcement_learning | generative_models | machine_learning | ml_potentials | neural_networks | property_prediction | From Screening to Generative Design: Advances in ML-Assisted MOFs for Carbon Capture Carbon Capture and Storage (CCS) and Direct Air Capture (DAC) technologies must improve quickly due to the escalating climate problem, which is caused by annual CO₂ emissions reaching 37 billion metric tons. Because of their remarkable... |
W7136282398 | https://openalex.org/W7136282398 | https://doi.org/10.1021/acs.jpcc.5c08318 | Machine Learning an Ab-Initio Based Bond-Order Potential for Bismuthene | 2,026 | 2026-03-16 | article | 0 | The Journal of Physical Chemistry C | Materials Science | Materials Chemistry | Materials Science | Physics and Astronomy | 2D Materials and Applications | Topological Materials and Phenomena | Thermal properties of materials | Monte Carlo method | Pairwise comparison | Interatomic potential | Lattice (music) | Reliability (semiconductor) | Phonon | Coupling (piping) | Construct (python library) | 9 | A5108297705 | A5054441046 | A5112896205 | A5101462106 | A5120875878 | A5063276469 | A5035018106 | A5129397310 | A5063950942 | Partha Sarathi Dutta | Aditya Koneru | Adil Muhammed | Henry Chan | Karthik Balasubramanian | Sukriti Manna | Troy D. Loeffler | Kiran Sasikumar | Pierre Darancet | Subramanian K. R. S. Sankaranarayanan | US | expanded | expanded | expanded_reinforcement_learning | machine_learning | ml_potentials | Machine Learning an Ab-Initio Based Bond-Order Potential for Bismuthene Bismuthene is a heavy 2D material whose strong spin–orbit coupling and recently observed single-element ferroelectricity have intensified interest in its structural, vibrational, and transport properties. Accurate modeling of these behaviors requir... |
W7124940135 | https://openalex.org/W7124940135 | https://doi.org/10.1016/j.ceja.2026.101051 | A deep reinforcement learning framework for regime-specific decision in the operation of industrial ammonium sulfate crystallization | 2,026 | 2026-01-20 | article | 0 | Chemical Engineering Journal Advances | Materials Science | Materials Chemistry | Engineering | Materials Science | Crystallization and Solubility Studies | Calcium Carbonate Crystallization and Inhibition | Freezing and Crystallization Processes | Router | Crystallization | Mean squared error | Slurry | Nucleation | Control theory (sociology) | Reinforcement learning | Approximation error | 4 | A5120082341 | A5086296544 | A5116804999 | A5030073664 | Thanchanok Archapitakkol | Santi Bardeeniz | Thanayuth Kaweetirawatt | Chanin Panjapornpon | null | expanded | expanded | expanded_reinforcement_learning | machine_learning | A deep reinforcement learning framework for regime-specific decision in the operation of industrial ammonium sulfate crystallization Real-time prediction of crystal size in industrial ammonium sulfate (AS) crystallization remains a challenge due to opaque slurry conditions, delayed laboratory measurements, variability ... |
W7152630812 | https://openalex.org/W7152630812 | https://doi.org/10.1038/s41598-026-46307-1 | Few-shot learning for classification of SEM images from green-synthesized nanoparticles of Momordica cymbalaria | 2,026 | 2026-04-09 | article | 0 | Scientific Reports | Materials Science | Materials Chemistry | Chemistry | Engineering | Materials Science | Nanoparticles: synthesis and applications | Biosensors and Analytical Detection | Spectroscopy and Chemometric Analyses | Silver nanoparticle | Nanoparticle | Scanning electron microscope | Fourier transform infrared spectroscopy | Characterization (materials science) | Surface plasmon resonance | 7 | A5024307472 | A5021665542 | A5125610927 | A5133270458 | A5133269137 | A5133306235 | A5133315690 | Umadevi Venkatappa | Savithri Bhat | Mukta Dixit | H. S. Aishwarya | Anjan Kumar | K. Devaki Devi | Sreedevi Esuralla | US | IN | expanded | expanded | expanded_reinforcement_learning | ai_general | machine_learning | Few-shot learning for classification of SEM images from green-synthesized nanoparticles of Momordica cymbalaria Nanotechnology offers wide range of applications owing to the unique physicochemical and biological properties of nanoparticles. Synthesis of nanoparticles from plant extracts provides a sustainable and safe ... |
W7131893338 | https://openalex.org/W7131893338 | https://doi.org/10.2139/ssrn.6314210 | Towards high precision control of strain wave gearing magnetic shape memory actuators utilizing reinforcement learning | 2,026 | 2026-01-01 | preprint | 0 | SSRN Electronic Journal | Materials Science | Materials Chemistry | Engineering | Materials Science | Shape Memory Alloy Transformations | Piezoelectric Actuators and Control | Iterative Learning Control Systems | Actuator | Control theory (sociology) | Position (finance) | Reinforcement learning | PID controller | Cascade | Controller (irrigation) | Range (aeronautics) | 2 | A5051988075 | A5126983641 | Ivan Kulagin | Ming Li | FI | expanded | expanded | expanded_reinforcement_learning | machine_learning | Towards high precision control of strain wave gearing magnetic shape memory actuators utilizing reinforcement learning Actuator ; Control theory (sociology) ; Position (finance) ; Reinforcement learning ; PID controller ; Cascade ; Controller (irrigation) ; Range (aeronautics) Shape Memory Alloy Transformations ; Piezo... |
W7125491260 | https://openalex.org/W7125491260 | https://doi.org/10.1007/s00170-025-17317-6 | A two-stage transfer learning framework for quality prediction under data scarcity: an industrial case study in copper foil manufacturing | 2,026 | 2026-01-23 | article | 0 | The International Journal of Advanced Manufacturing Technology | Materials Science | Materials Chemistry | Engineering | Materials Science | Machine Learning in Materials Science | Digital Transformation in Industry | Machine Fault Diagnosis Techniques | Scrap | Quality (philosophy) | Key (lock) | Transfer of learning | Scarcity | Process (computing) | Predictive maintenance | Domain (mathematical analysis) | 2 | A5123709619 | A5123659728 | Chien-Chih Wang | Chun-Kai Wei | TW | expanded | expanded | expanded_reinforcement_learning | machine_learning | A two-stage transfer learning framework for quality prediction under data scarcity: an industrial case study in copper foil manufacturing Scrap ; Quality (philosophy) ; Key (lock) ; Transfer of learning ; Scarcity ; Process (computing) ; Predictive maintenance ; Domain (mathematical analysis) Machine Learning in Materi... |
W7130541189 | https://openalex.org/W7130541189 | https://doi.org/10.1021/acs.jctc.5c01885 | Hierarchical Reinforcement Learning of a Short-Range Bond-Order Potential for Silica: Analytic Embedding of Coordination with Classical Efficiency | 2,026 | 2026-02-19 | article | 0 | Journal of Chemical Theory and Computation | Materials Science | Materials Chemistry | Materials Science | Machine Learning in Materials Science | Material Dynamics and Properties | Block Copolymer Self-Assembly | Pairwise comparison | Embedding | Reinforcement learning | Workflow | Monte Carlo method | Fidelity | Lattice (music) | Amorphous silica | 4 | A5054441046 | A5126420209 | A5012080156 | A5063950942 | Aditya Koneru | Henry Chan | Valeria Paula Molinero | Subramanian K. R. S. Sankaranarayanan | US | expanded | expanded | expanded_reinforcement_learning | machine_learning | ml_potentials | representation_learning | Hierarchical Reinforcement Learning of a Short-Range Bond-Order Potential for Silica: Analytic Embedding of Coordination with Classical Efficiency Reinforcement learning (RL) has recently emerged as a data-efficient strategy to parametrize short-range interatomic potentials. Building on our previous RL optimization of ... |
W7129048222 | https://openalex.org/W7129048222 | https://doi.org/10.1016/j.dche.2026.100292 | Transfer learning of data-driven crystallisation processes via constrained Neural Ordinary Differential Equations | 2,026 | 2026-02-16 | article | 0 | Digital Chemical Engineering | Materials Science | Materials Chemistry | Biochemistry, Genetics and Molecular Biology | Materials Science | Enzyme Structure and Function | Crystallization and Solubility Studies | Protein Structure and Dynamics | Ordinary differential equation | Robustness (evolution) | Artificial neural network | Ode | Stability (learning theory) | Noise (video) | Work (physics) | Monotonic function | 5 | A5016722717 | A5126062319 | A5126164780 | A5126104214 | A5058554947 | Daniele Pessina | Tony Tian | Oliver Watson | Jerry Y. Heng | Maria M. Papathanasiou | GB | expanded | expanded | expanded_reinforcement_learning | ai_general | machine_learning | neural_networks | representation_learning | Transfer learning of data-driven crystallisation processes via constrained Neural Ordinary Differential Equations Modelling complex crystallisation processes remains challenging due to limited experimental datasets, high measurement noise, and the need for generalisability across varying operating conditions. Neural Or... |
W7134181226 | https://openalex.org/W7134181226 | https://doi.org/10.1002/mgea.70055 | A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis | 2,026 | 2026-02-25 | article | 0 | Materials Genome Engineering Advances | Materials Science | Materials Chemistry | Engineering | Materials Science | Thermal properties of materials | Machine Learning in Materials Science | Thermography and Photoacoustic Techniques | Thermal conductivity | Weighting | Silicon carbide | Transfer of learning | Process (computing) | Ceramic | Artificial neural network | Silicon nitride | Phase (matter) | 11 | A5020757832 | A5103561394 | A5002538230 | A5128338399 | A5128375688 | A5100306378 | A5087813798 | A5100774496 | A5081762353 | A5054214751 | A5063313787 | Zhenzhao Zhang | Yunpeng Guo | Chunran Wu | Tingbo Wang | Ming Huang | Wei Li | Chen Xingyu | Haijun Mao | Kaijun Wang | Wenjian Guo | Fenglin Wang | Zhuofeng Liu | CN | expanded | expanded | expanded_reinforcement_learning | machine_learning | neural_networks | A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis ABSTRACT To overcome the limitations of small‐sample data in establishing microstructure–property linkages, this study introduces a deep transfer learning framework with a dynamic weighting mechanism. By transferring th... |
W7154257938 | https://openalex.org/W7154257938 | https://doi.org/10.48550/arxiv.2604.09793 | GIANTS: Generative Insight Anticipation from Scientific Literature | 2,026 | 2026-04-10 | preprint | 0 | arXiv (Cornell University) | Materials Science | Materials Chemistry | Computer Science | Materials Science | Medicine | Machine Learning in Materials Science | Topic Modeling | Artificial Intelligence in Healthcare and Education | Similarity (geometry) | Anticipation (artificial intelligence) | Pairwise comparison | Set (abstract data type) | Generative grammar | Scientific modelling | Benchmark (surveying) | Generative model | 8 | A5133595152 | A5088818925 | A5133612702 | A5102821532 | A5133592045 | A5133615009 | A5123020817 | A5133584358 | Joy He-Yueya | Anikait Singh | Ge Gao | Michael Y. Li | Sherry Yang | Chelsea Finn | Emma Brunskill | Noah D. Goodman | null | expanded | expanded | expanded_reinforcement_learning | ai_general | autonomous_discovery | generative_models | machine_learning | GIANTS: Generative Insight Anticipation from Scientific Literature Scientific breakthroughs often emerge from synthesizing prior ideas into novel contributions. While language models (LMs) show promise in scientific discovery, their ability to perform this targeted, literature-grounded synthesis remains underexplored. ... |
W7126222138 | https://openalex.org/W7126222138 | https://doi.org/10.1016/j.infrared.2026.106436 | Instrument-invariant near-infrared spectroscopy via domain adaptation for robust quantitative analysis of barley protein content | 2,026 | 2026-01-30 | article | 0 | Infrared Physics & Technology | Chemistry | Analytical Chemistry | Agricultural and Biological Sciences | Biochemistry, Genetics and Molecular Biology | Chemistry | Spectroscopy and Chemometric Analyses | Smart Agriculture and AI | Spectroscopy Techniques in Biomedical and Chemical Research | Adaptation (eye) | Transfer of learning | Domain (mathematical analysis) | Near-infrared spectroscopy | Spectroscopy | Principal component analysis | Pattern recognition (psychology) | Domain adaptation | 8 | A5121474024 | A5100437175 | A5065859286 | A5101840434 | A5124304022 | A5124380147 | A5052697772 | A5124376275 | Gan Zhang | Xu Zhang | Hui Li | Jinhui Zhao | Yao Qin | Qinghui Zhang | Mingxing Li | Yu Yang | CN | expanded | expanded | expanded_reinforcement_learning | null | Instrument-invariant near-infrared spectroscopy via domain adaptation for robust quantitative analysis of barley protein content Adaptation (eye) ; Transfer of learning ; Domain (mathematical analysis) ; Near-infrared spectroscopy ; Spectroscopy ; Principal component analysis ; Pattern recognition (psychology) ; Domain... |
W7133527145 | https://openalex.org/W7133527145 | https://doi.org/10.1038/s41598-026-39601-5 | Role of oxygen vacancies on the structural, electronic, optical, and photocatalytic properties of Ba2CeMO6 (M = Bi, Sb) double perovskites: a DFT study | 2,026 | 2026-03-04 | article | 0 | Scientific Reports | Materials Science | Electronic, Optical and Magnetic Materials | Materials Science | Magnetic and transport properties of perovskites and related materials | Heusler alloys: electronic and magnetic properties | Advancements in Solid Oxide Fuel Cells | Photocatalysis | Oxygen | Density functional theory | Visible spectrum | 8 | A5053377840 | A5102582657 | A5103088894 | A5128055764 | A5128125461 | A5102750345 | A5028670382 | A5013166913 | Md. Abdul Karim | Antor Saha | Md. Jubayer Hossain | Md. Shahin Kabir | Md. Omar Faruk | Mahmuda Khatun | Md. Riad Khan | Dayal Chandra Roy | BD | expanded | expanded | expanded_reinforcement_learning | null | Role of oxygen vacancies on the structural, electronic, optical, and photocatalytic properties of Ba2CeMO6 (M = Bi, Sb) double perovskites: a DFT study Oxygen vacancies are known to critically influence the crystal structure, electronic properties, as well as photocatalytic performance of double perovskites. In this st... |
W7122475068 | https://openalex.org/W7122475068 | https://doi.org/10.21203/rs.3.rs-8313233/v1 | Diastereodivergent Synthesis of Multi-Substituted Cyclohexanes via Alkene Hydroamidation | 2,026 | 2026-01-12 | preprint | 0 | Research Square | Chemistry | Inorganic Chemistry | Chemistry | Asymmetric Hydrogenation and Catalysis | Catalytic C–H Functionalization Methods | Catalytic Cross-Coupling Reactions | Cyclohexanes | Cyclohexane | Steric effects | Alkene | Substituent | Catalysis | Stereoselectivity | Cycloalkane | Electronic effect | 6 | A5122832342 | A5104347214 | A5122832867 | A5093605480 | A5075809491 | A5110968426 | Yao Fu | Zhen Li | Yi-Zhou Tong | Kai-Ran Duan | Boru Men | Qing Lü | Xi Lu | CN | expanded | expanded | expanded_reinforcement_learning | null | Diastereodivergent Synthesis of Multi-Substituted Cyclohexanes via Alkene Hydroamidation Cyclohexanes ; Cyclohexane ; Steric effects ; Alkene ; Substituent ; Catalysis ; Stereoselectivity ; Cycloalkane ; Electronic effect Asymmetric Hydrogenation and Catalysis ; Catalytic C–H Functionalization Methods ; Catalytic Cross... |
W7129074915 | https://openalex.org/W7129074915 | https://doi.org/10.21203/rs.3.rs-8632235/v1 | Enhancing Mechanical and Morphological Performance of Recycled Polypropylene Bamboo Fiber Composites Using Palm Stearin Biohybrid Resin | 2,026 | 2026-02-16 | preprint | 0 | Research Square | Materials Science | Polymers and Plastics | Agricultural and Biological Sciences | Engineering | Materials Science | Natural Fiber Reinforced Composites | Bamboo properties and applications | Fiber-reinforced polymer composites | Palm stearin | Ultimate tensile strength | Polypropylene | Izod impact strength test | Composite number | Scanning electron microscope | Flexural strength | Bamboo charcoal | 8 | A5045468077 | A5124856516 | A5126107570 | A5054408556 | A5124856184 | A5126169097 | A5126097225 | A5014515221 | Siti Hasnah Kamarudin | Nur Maisarah Suhaimi | Nurul Alis Syamimi Abd Manap | Silvi Ikawati | Ummi Hani Abdullah | Mohd Salahuddin Mohd Basri | Luqman Chuah Abdullah | Mohd Rozi Ahmad | MY | ID | expanded | expanded | expanded_reinforcement_learning | null | Enhancing Mechanical and Morphological Performance of Recycled Polypropylene Bamboo Fiber Composites Using Palm Stearin Biohybrid Resin Palm stearin ; Ultimate tensile strength ; Polypropylene ; Izod impact strength test ; Composite number ; Scanning electron microscope ; Flexural strength ; Bamboo charcoal Natural Fib... |
W7127314819 | https://openalex.org/W7127314819 | https://doi.org/10.3390/coatings16020191 | High-Uniformity Ultra-Broadband Composite Coatings for Large-Aperture Space Telescopes Using Dual-Ring Co-Evaporation | 2,026 | 2026-02-03 | article | 0 | Coatings | Materials Science | Surfaces, Coatings and Films | Engineering | Materials Science | Optical Coatings and Gratings | Silicone and Siloxane Chemistry | Advanced optical system design | Composite number | Layer (electronics) | Reflectivity | Ultraviolet | Aperture (computer memory) | Radiation | Optical coating | Deposition (geology) | 8 | A5124927863 | A5124958355 | A5124889511 | A5074468381 | A5017157541 | A5015180480 | A5124923886 | A5124936691 | Haifeng Wang | Jian Zhang | Xiaoyi Wang | T Wang | Zhi-Qiang Shen | Jingjie Pan | Haigui Yang | Zhen Liu | CN | expanded | expanded | expanded_reinforcement_learning | null | High-Uniformity Ultra-Broadband Composite Coatings for Large-Aperture Space Telescopes Using Dual-Ring Co-Evaporation In addressing the key technical challenges of achieving ultra-broadband and high film-thickness uniformity for meter-class large-aperture space telescopes, this study utilized a self-developed 4 m-class... |
W7126132106 | https://openalex.org/W7126132106 | null | Efficient logP determination by automated, spatially encoded 19 F NMR Spectroscopy | 2,026 | 2026-01-12 | article | 0 | Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) | Chemistry | Spectroscopy | Biochemistry, Genetics and Molecular Biology | Chemistry | Physics and Astronomy | Advanced NMR Techniques and Applications | NMR spectroscopy and applications | Metabolomics and Mass Spectrometry Studies | Nuclear magnetic resonance spectroscopy | Measure (data warehouse) | Spectrometer | Spectroscopy | Analytical Chemistry (journal) | Two-dimensional nuclear magnetic resonance spectroscopy | Automation | Fluorine-19 NMR | 5 | A5122804294 | A5124212859 | A5038704874 | A5124198594 | A5124188987 | Susanna Wood | Fiona Gordon | Robin S. Stein | Mark Howard | John Parkinson | null | expanded | expanded | expanded_reinforcement_learning | ai_general | Efficient logP determination by automated, spatially encoded 19 F NMR Spectroscopy We report a straightforward method for direct determination of logP by slice-selective 19F NMR spectroscopy utilising a single NMR sample. Our technique uses a partitioned NMR sample of n-octanol/water containing the compound of interest... |
W7122408262 | https://openalex.org/W7122408262 | https://doi.org/10.1039/d5md00678c | Efficient log <i>P</i> determination by automated, spatially encoded <sup>19</sup> F NMR spectroscopy | 2,026 | 2026-01-01 | article | 0 | RSC Medicinal Chemistry | Chemistry | Spectroscopy | Biochemistry, Genetics and Molecular Biology | Chemistry | Physics and Astronomy | Advanced NMR Techniques and Applications | NMR spectroscopy and applications | Metabolomics and Mass Spectrometry Studies | Nuclear magnetic resonance spectroscopy | Measure (data warehouse) | Spectrometer | Analytical Chemistry (journal) | Spectroscopy | Range (aeronautics) | 3 | A5122804294 | A5122775331 | A5122765841 | Susanna Wood | Fiona Gordon | Robin S. Stein | Mark J. Howard | John A Parkinson | GB | expanded | expanded | expanded_reinforcement_learning | ai_general | Efficient log <i>P</i> determination by automated, spatially encoded <sup>19</sup> F NMR spectroscopy We report a straightforward method for direct determination of log <i>P</i> by slice-selective <sup>19</sup>F NMR spectroscopy utilising a single NMR sample. Our technique uses a partitioned NMR sample of <i>n</i>-octa... |
W7154170073 | https://openalex.org/W7154170073 | https://doi.org/10.54254/2755-2721/2026.bj32751 | Overview of the System Engineering for Lightweighting of Automotive Structures | 2,026 | 2026-04-13 | article | 0 | Applied and Computational Engineering | Materials Science | Materials Chemistry | Engineering | Materials Science | Material Selection and Properties | Engineering and Materials Science Studies | Aluminum Alloys Composites Properties | Automotive industry | Casting | Production (economics) | Focus (optics) | Die casting | Advanced manufacturing | Energy consumption | Process (computing) | 1 | A5133510624 | Zhankun Yang | CN | expanded | expanded | expanded_reinforcement_learning | null | Overview of the System Engineering for Lightweighting of Automotive Structures Automotive lightweighting represents a core technical pathway for realizing energy conservation, emission reduction, and extending the driving range of new energy vehicles. From the systematic perspective of "materials-processes", this paper... |
W7118678529 | https://openalex.org/W7118678529 | https://doi.org/10.1038/s41467-025-67836-9 | Finite-momentum superconductivity from chiral bands in twisted MoTe2 | 2,026 | 2026-01-07 | article | 0 | Nature Communications | Materials Science | Materials Chemistry | Materials Science | Physics and Astronomy | 2D Materials and Applications | Topological Materials and Phenomena | Iron-based superconductors research | Superconductivity | Quasiparticle | Coulomb | Lattice (music) | Symmetry breaking | Symmetry (geometry) | Point reflection | Homogeneous space | 4 | A5036330383 | A5102265764 | A5100354631 | A5031618623 | Yinqi Chen | Cheng Xu | Yang Zhang | Constantin Schrade | US | SG | expanded | expanded | expanded_reinforcement_learning | null | Finite-momentum superconductivity from chiral bands in twisted MoTe2 A recent experiment has reported unconventional superconductivity in twisted bilayer MoTe<sub>2</sub>, emerging from a normal state that exhibits a finite anomalous Hall effect - a signature of intrinsic chirality. Motivated by this discovery, we cons... |
W7118996133 | https://openalex.org/W7118996133 | https://doi.org/10.1039/d5ra08177g | Detection of polyphenols-to-amino acids ratio in Wuyi Rock Tea <i>via</i> CARS-PLSR processing of near infrared spectroscopy | 2,026 | 2026-01-01 | article | 0 | RSC Advances | Chemistry | Analytical Chemistry | Chemistry | Medicine | Spectroscopy and Chemometric Analyses | Tea Polyphenols and Effects | Traditional Chinese Medicine Analysis | Near-infrared spectroscopy | Calibration | Partial least squares regression | Feature selection | Principal component analysis | Matrix (chemical analysis) | Regression | Standard deviation | Relative standard deviation | Regression analysis | 4 | A5055357852 | A5032801733 | A5059645396 | A5111328033 | Zhenyi Xu | Xianbiao Jiang | Q. Chen | Pumo Cai | CN | expanded | expanded | expanded_reinforcement_learning | null | Detection of polyphenols-to-amino acids ratio in Wuyi Rock Tea <i>via</i> CARS-PLSR processing of near infrared spectroscopy The total polyphenols (TP), free amino acids (FAA), and the polyphenols-to-amino acids ratio (TP/FAA) serve as crucial indicators of the taste quality of tea. Traditional detection methods, howev... |
W7133494404 | https://openalex.org/W7133494404 | https://doi.org/10.21203/rs.3.rs-8988307/v1 | Independent blazed diffraction in a polarization insensitive dual waveband metagrating | 2,026 | 2026-03-04 | preprint | 0 | Research Square | Materials Science | Electronic, Optical and Magnetic Materials | Engineering | Materials Science | Physics and Astronomy | Metamaterials and Metasurfaces Applications | Plasmonic and Surface Plasmon Research | Orbital Angular Momentum in Optics | Diffraction | Wavefront | Planar | Diffraction grating | Wavelength | Diffraction efficiency | Blazed grating | Polarization (electrochemistry) | 9 | A5113211779 | A5128081466 | A5128048107 | A5128041460 | A5112486803 | A5100712923 | A5128049982 | A5128098909 | A5128049367 | Ruoqian Gao | Xinran Su | Pengtao Hu | Kai Wu | Yingge Cong | Junlin Li | Mingfeng Ge | Xiaoyi Liu | Wenfei Dong | CN | expanded | expanded | expanded_reinforcement_learning | null | Independent blazed diffraction in a polarization insensitive dual waveband metagrating Diffraction ; Wavefront ; Planar ; Diffraction grating ; Wavelength ; Diffraction efficiency ; Blazed grating ; Polarization (electrochemistry) Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Or... |
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