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| "figures/feature_correlation_heatmap.png": "a5ec607126b313e66a70688fa7a56227f4f8360c890479a51033fa226ff77ddf", |
| "figures/lstm_actual_vs_predicted.png": "da2f66430f05bc90bb3c6196d627a7ab8e5122f5e3b825b584ad58acd7050e2e", |
| "figures/lstm_training_curves.png": "2449a96970013a4eb356dbb185122a7a1e94339e3f41d75b8e4fc9c560adf10d", |
| "figures/mc_dropout_uncertainty_lstm.png": "dad1598483196fa7686b77ba89dcd44413f8a3c0ec19c10f09b8aabf61fd6542", |
| "figures/soc_coulomb_counting_demo.png": "c63c6baca51effb37a89a7a84bf3faa81f52002ff032d1ec7cf0bcdf45bfd15e", |
| "figures/soh_degradation_trends.png": "56c131fbf98676e8f6611e30bf16a4f6065a311605235c442322a8f71d0fad8e", |
| "figures/transformer_pt_training_curves.png": "20c4ea6e1802b7557cbf01c439ec51dc4fda230a79a081016fcda4bec8065040", |
| "figures/transformer_tf_training_curves.png": "a278a36ef3150dfb7fdeb2f89559ac18ccfafd4a4b6ae80d047c0de926e8a9ac", |
| "figures/unified_model_comparison.png": "5a9de76ea1a4c49327875db1a894afb7c30ea65f4235700726e447c24fdeaa37", |
| "figures/vae_anomaly_detection.png": "00ae9cb490875ba5ee79dab824619bf4faf1dd6d0a1a113502164d3ba024f412", |
| "figures/vae_latent_umap.png": "cf17f7a90a0abc9c851b05d5cdbab3f7e34bda0a805fad665a3d1259f3ca7eec", |
| "figures/vae_lstm_prediction.png": "b41dd8dbe3647a226fb6fb8256b6d528e2a944d64e80ff7d56cc2ae8c875f6cd" |
| }, |
| "generated_at_utc": "2026-03-10T18:10:44.760892+00:00" |
| }, |
| "verification": { |
| "hash_algorithm": "sha256", |
| "required": true, |
| "notes": "Verify checksums before serving or deploying artifacts.", |
| "last_verified_utc": "2026-03-10T18:10:44.760892+00:00" |
| }, |
| "engineered_features": { |
| "capacity_retention": "Current capacity / initial capacity ratio", |
| "cumulative_energy": "Cumulative energy throughput (Wh)", |
| "dRe_dn": "Rate of change of electrolyte resistance per cycle", |
| "dRct_dn": "Rate of change of charge-transfer resistance per cycle", |
| "soh_rolling_mean": "Rolling mean SOH over 5-cycle window", |
| "voltage_slope": "Slope of voltage curve during discharge" |
| }, |
| "improvements_over_v2": [ |
| "Cross-battery grouped split eliminates data leakage", |
| "18 features (6 new physics-informed) vs 12 in v2", |
| "Proper NaN imputation (ffill/bfill/median vs fillna(0))", |
| "Optimized hyperparameters for all classical models", |
| "XGBoost R\u00b2 improved from 0.567 to 0.987" |
| ] |
| } |
|
|
