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@@ -25,7 +25,7 @@ This dataset provides simulation-based field data for testing
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  physics-informed machine learning, neural operators, and
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  physics foundation models.
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- Currently, the dataset contains CFD field variables including:
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  - velocity
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  - pressure
@@ -44,16 +44,6 @@ Each CSV file contains spatial field information:
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  | pressure | Pressure field |
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  | temperature | Temperature field |
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- ## Applications
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-
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- This dataset can be used for:
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-
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- - Physics-informed neural networks (PINNs)
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- - Neural operators (FNO, DeepONet)
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- - Physics transformers
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- - Thermofluid foundation models
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- - CFD surrogate modeling
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-
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  ## Dataset Structure
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  ```
@@ -66,6 +56,34 @@ thermofluid-demo/
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  └── case_0003.csv
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  ```
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  ## License
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  Apache License 2.0
 
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  physics-informed machine learning, neural operators, and
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  physics foundation models.
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+ Currently, the dataset contains simulation-based CFD field variables including:
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  - velocity
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  - pressure
 
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  | pressure | Pressure field |
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  | temperature | Temperature field |
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  ## Dataset Structure
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  ```
 
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  └── case_0003.csv
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  ```
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+ ## Parameters
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+
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+ Each simulation case includes operating conditions:
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+
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+ - Reynolds number (Re)
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+ - Prandtl number (Pr)
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+ - Inlet velocity
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+ - Inlet temperature
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+
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+ ## Applications
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+
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+ This dataset can be used for:
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+
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+ - Physics-informed neural networks (PINNs)
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+ - Neural operators (FNO, DeepONet)
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+ - Physics transformers
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+ - Thermofluid foundation models
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+ - CFD surrogate modeling
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+
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+ ## Version
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+
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+ ### v0.1 - Initial demonstration dataset
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+
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+ Contents:
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+ - 3 simulation cases
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+ - Velocity, pressure, and temperature fields
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+ - Tabular CFD representation
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+
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  ## License
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  Apache License 2.0