DENIM_START_HERE.md

DENIM incomplete-physics closure

DENIM is the Discrete-Energy Neural Internal-variable Model developed in the AgentFEM material-loading-memory study.

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).

The reference is intentionally richer than the learned model:

• 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.

Start with:

• 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

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.

Data are CC BY 4.0. Included code uses the repository code license.