| # DENIM incomplete-physics closure |
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| DENIM is the **Discrete-Energy Neural Internal-variable Model** developed in |
| the AgentFEM material-loading-memory study. |
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| This increment contains 128 complete multiaxial trajectories, each with 241 |
| ordered states. Training uses five path families (80 trajectories), validation |
| uses rotating-principal loading (16), and test fully withholds out-of-phase |
| Lissajous and random-direction-block loading (32). |
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| The reference is intentionally richer than the learned model: |
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| - reference: three kinematic memories plus tabulated isotropic hardening; |
| - DENIM: two tensor memories plus a learned monotone saturating hardening law; |
| - known to DENIM: isotropic elasticity, J2 geometry and initial yield stress; |
| - hidden: reference hardening table, recovery parameters and update equations. |
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| Start with: |
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| - `data/t2_graybox_closure_v1/manifest.json` |
| - `artifacts/t2_graybox_closure_v1/model_metrics.json` |
| - `artifacts/t2_graybox_closure_v1/deployment_validation.json` |
| - `docs/T2_GRAYBOX_CLOSURE_RESULTS.md` |
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| The HDF5 groups store strain, stress, plastic strain, PEEQ, plastic increments, |
| the three reference memories and the two-channel closure state. SI units and |
| Voigt order `xx, yy, zz, xy, yz, xz` with tensor shear are used throughout. |
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| Data are CC BY 4.0. Included code uses the repository code license. |
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