| { | |
| "model_type": "denim", | |
| "full_name": "Discrete-Energy Neural Internal-variable Model", | |
| "version": "1.1.0", | |
| "framework": "pytorch", | |
| "channels": 2, | |
| "trainable_parameters": 918, | |
| "voigt_order": ["xx", "yy", "zz", "xy", "yz", "xz"], | |
| "shear_convention": "tensor", | |
| "known_material": { | |
| "young_pa": 190000000000.0, | |
| "poisson": 0.3, | |
| "yield_stress_pa": 280000000.0 | |
| }, | |
| "physics": [ | |
| "small_strain_isotropic_elasticity", | |
| "J2_yield_geometry", | |
| "associative_flow", | |
| "plastic_incompressibility", | |
| "implicit_return_mapping", | |
| "discrete_energy_ledger" | |
| ], | |
| "dataset": "HaomingLuo/AgentFEM-Material-Loading-Memory", | |
| "checkpoints": { | |
| "denim.pt": "original published 128-trajectory checkpoint", | |
| "denim-expanded.pt": "expanded checkpoint after 500-trajectory boundary release" | |
| }, | |
| "agentfem_reference_commit": "01ae283b957c1670db22c5261bb36a69cfb89956" | |
| } | |