TACE-v1-OAM-M
Predictions
Discovery: energy and convex hull diagnostics
Missing preds: 0
Loading formation energy parity data...
Trained By
Model Info
- Version 0.1.0
- Role Interatomic potential
- Architecture gnn
- Targets EFSG
- Openness OSOD
- Discovery Train Task S2EFS
- Discovery Test Task IS2RE-SR
Training Set
MPtrj: 1.58M structures from 146k materials
OMat24: 101M structures from 3.23M materials
Subsampled Alexandria: 10.4M structures from 3.23M materials
description
Based on irreducible Cartesian tensors, described in https://arxiv.org/abs/2509.14961 and https://arxiv.org/abs/2512.16882.
steps
Training performed by: (1) pre-training on OMat24 (lr-4e-3, loss-1:8:8); (2) fine-tuning on MPtrj+sAlex (lr-1e-4, loss-1:1:2).
Hyperparams
- evaluation:
{"max_force":0.05,"max_steps":500,"ase_optimizer":"GOQN","cell_filter":"FrechetCellFilter","kappa":{"protocol":"phonondb-v1","displacement_distance":0.03,"save_forces":true}} - architecture:
{"graph_construction_radius":6,"n_layers":5} - training:
{"epochs":4,"initial_learning_rate":0.004,"optimizer":"AdamW","batch_size":512} - upstream_config:
{"loss_weights":{"energy":1,"force":8,"stress":8},"huber_delta":0.01,"num_channel":48,"Lmax":2,"lmax":3,"l1l2":"l1 <= l2","correlation":2}
Dependencies
- tace git+https://github.com/xvzemin/tace@c669bee71c2f157dce80d80e8a8f0a08ddfc124c
- torch ==2.9.1
- torch-geometric ==2.7.0
- pytorch-lightning ==2.5.5