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Hafnium49/matgl-tensornet-pyg-r2scan

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App README

MatGL TensorNet-PyG r2SCAN

Material property prediction using TensorNet-MatPES-r2SCAN-v2025.1-PES from the MatGL library.

API Endpoints

  • —Energy: Predict total and per-atom energy
  • —Forces: Predict atomic forces
  • —Stress: Predict stress tensor
  • —Health: Health check endpoint

Usage

Paste a CIF structure and click Predict to get material properties.

Model Information

  • —Model: TensorNet-MatPES-r2SCAN-v2025.1-PES
  • —Library: MatGL
  • —Backend: PyG

Links