Nequip-MP-L
Predictions
Convex hull distance prediction errors projected onto elements
2 He 0
10 Ne 0
18 Ar 0
36 Kr 0
54 Xe 0.002
57 La 0.0672
58 Ce 0.0733
59 Pr 0.067
60 Nd 0.0659
61 Pm 0.0612
62 Sm 0.0673
63 Eu 0.0844
64 Gd 0.0706
65 Tb 0.069
66 Dy 0.0729
67 Ho 0.0694
68 Er 0.0711
69 Tm 0.0743
70 Yb 0.0774
71 Lu 0.0742
86 Rn 0
89 Ac 0.0645
90 Th 0.0962
91 Pa 0.115
92 U 0.111
93 Np 0.156
94 Pu 0.316
95 Am 0
96 Cm 0
97 Bk 0
98 Cf 0
99 Es 0
100 Fm 0
101 Md 0
102 No 0
103 Lr 0
118 Og 0
57-71 La-Lu Lanthanides
89-103 Ac-Lr Actinides
Trained By
Model Info
- Model Version 0.1
- Model Type UIP
- Targets EFSG
- Openness OSOD
- Train Task S2EFS
- Test Task IS2RE-SR
- Trained for Benchmark Yes
Training Set
MPtrj: 1.58M structures from 146k materials
Description
Large 'compliant' NequIP foundation potential; see https://www.nequip.net/models/mir-group/NequIP-MP-L:0.1 for details and https://arxiv.org/abs/2504.16068 for model/training infrastructure.
Steps
Single training run on MPtrj with specified parameters.
Hyperparameters
- max_force:
0.05 - max_steps:
500 - ase_optimizer:
"GOQN" - cell_filter:
"FrechetCellFilter" - optimizer:
"AdamW" - weight_decay:
0.001 - graph_construction_radius:
6 - sph_harmonics_l_max:
3 - n_layers:
6 - n_features:
"128 (l=0 scalars), 64 (l=1 vectors), 32 (l=2,3 tensors)" - parity:
false - zbl_potential:
true - type_embed_num_features:
48 - polynomial_cutoff:
5 - n_radial_bessel_basis:
8 - loss:
"Huber - delta=0.01 for energy, delta=0.1 for stress, stratified delta (0.01, 0.007, 0.004, 0.001) for force" - loss_weights:
{"energy":1,"force":5,"stress":0.01} - batch_size:
640 - initial_learning_rate:
0.02 - gradient_clip_val:
0.01 - learning_rate_schedule:
"ReduceLROnPlateau - factor=0.1, patience=100, min_lr=1e-6" - epochs:
300 - max_neighbors:
null