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TensorNet-PES-MatPES-PBE-2025.2
materialyze/TensorNet-PES-MatPES-PBE-2025.2
TensorNet-PES-MatPES-PBE-2025.2 is a machine learning model from materialyze. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for matgl.
Pre-trained TensorNet foundation potential, i.e., universal machine learning interatomic potential trained on the MatPES PBE 2025.2 dataset.
Access
Public
Updated May 27, 2026
Repo size
6.8 MB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.pt3.4 MB · 100%
At a glance
- Library
- matgl
- Access
- Public
- Created
- Apr 25, 2026
- Updated
- May 27, 2026
- SHA
- 7ac2b904
Model card
From the Hugging Face model README
Introduction
Pre-trained TensorNet foundation potential, i.e., universal machine learning interatomic potential trained on the MatPES PBE 2025.2 dataset.
Potential
matgl Potential model (version 3).
Usage
import matgl
model = matgl.load_model("materialyze/TensorNet-PES-MatPES-PBE-2025.2")
Stats
- Layers: 2
- Units: 128
- Test_MAE_energies: 32 meV/atom
- Test_MAE_forces: 119 meV/Å
- Test_MAE_stresses: 0.626 GPa
Metadata
{
"dataset": "MatPES-PBE-2025.2"
}
- Library
- matgl
- Created
- Apr 25, 2026
- Updated
- May 27, 2026