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README.md
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- matgl
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- materials-science
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- graph-neural-network
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---
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#
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## Usage
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```python
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import matgl
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model = matgl.load_model("
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```
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- matgl
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- materials-science
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- graph-neural-network
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- machine-learning-interatomic-potential
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- foundation-potential
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- mlip
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---
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## Introduction
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Pre-trained TensorNet foundation potential, i.e., universal machine learning interatomic potential trained on the MatPES PBE 2025.2 dataset.
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## Potential
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[matgl](https://github.com/materialsvirtuallab/matgl) `Potential` model (version 3).
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## Usage
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```python
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import matgl
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model = matgl.load_model("materialyze/TensorNet-PES-MatPES-PBE-2025.2")
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```
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