README.md

metadata

library_name: matgl
tags:
  - matgl
  - materials-science
  - graph-neural-network
  - machine-learning-interatomic-potential
  - foundation-potential
  - mlip

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")

Metadata

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