materialyze/TensorNet-PES-MatPES-r2SCAN-2025.2

Introduction

Pre-trained TensorNet foundation potential, i.e., universal machine learning interatomic potential trained on the MatPES r2SCAN 2025.2 dataset.

Potential

matgl Potential model (version 3).

Usage

import matgl

model = matgl.load_model("materialyze/TensorNet-PES-MatPES-r2SCAN-2025.2")

Stats

• Layers: 2
• Units: 128
• Test_MAE_energies: 32 meV/atom
• Test_MAE_forces: 142 meV/Å
• Test_MAE_stresses: 0.705 GPa

Metadata

{
  "dataset": "MatPES-r2SCAN-2025.2"
}