model: | |
precision: 64 | |
num_chem_elements: 4 | |
edge_cutoff: 4.0 | |
num_edge_rbf: 8 | |
num_edge_poly_cutoff: 6 | |
num_vel_rbf: 8 | |
vel_max: 0.11 | |
max_rotation_order: 2 | |
num_hidden_channels: 64 | |
num_mp_layers: 4 | |
edge_mlp_kwargs: | |
n_neurons: | |
- 64 | |
- 64 | |
- 64 | |
activation: silu | |
vel_mlp_kwargs: | |
n_neurons: | |
- 64 | |
- 64 | |
- 64 | |
activation: silu | |
nl_gate_kwargs: | |
activation_scalars: | |
o: tanh | |
e: silu | |
activation_gates: | |
e: silu | |
conserve_ang_mom: true | |
o3_backend: e3nn | |
net_lin_mom: | |
- 0.0 | |
- 0.0 | |
- 0.0 | |
net_ang_mom: | |
- 0.0 | |
- 0.0 | |
- 0.0 | |