{"id":"W4410946360","doi":"10.1016/j.mechmat.2025.105399","title":"Inverse design of interpenetrating phase composites with targeted stiffness through deep learning","year":2025,"lang":"en","type":"article","venue":"Mechanics of Materials","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Saint Mary’s University","keywords":"Materials science; Composite material; Stiffness; Inverse; Phase (matter); Structural engineering; Geometry; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003925603,0.0007545972,0.000822905,0.000429145,0.0003019431,0.000695903,0.0008113756,0.001339729,0.002923949],"category_scores_gemma":[0.001132247,0.0007418564,0.0005612703,0.0002364668,0.0008521874,0.00085139,0.0008382294,0.001201148,0.0004025103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005699109,"about_ca_system_score_gemma":0.001280939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792823,"about_ca_topic_score_gemma":0.005564038,"domain_scores_codex":[0.9998748,0.0000233259,0.000003862804,0.00002463492,0.00005233992,0.00002107138],"domain_scores_gemma":[0.9995236,0.0002880727,0.00005359562,0.00003033364,0.00007272554,0.00003172082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004325547,0.00004497626,0.000161118,0.00005894223,0.00001467651,0.00003352587,0.00002592591,0.9785197,0.004119718,0.003909827,0.000412947,0.01265532],"study_design_scores_gemma":[0.00000338642,0.000009780988,0.00001241322,0.000001899093,0.000001443892,0.00000357853,0.000003307018,0.9987986,0.0003535372,0.0006762299,0.0001344479,0.000001348652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04829469,0.0002985208,0.9402974,0.000310931,0.0000586706,0.00004276775,0.00005204008,0.0004980623,0.01014695],"genre_scores_gemma":[0.7781768,0.0001961679,0.2140588,0.0001897854,0.00003567689,0.0001517552,0.0001245811,0.0001806191,0.006885823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002923949,"threshold_uncertainty_score":0.009781539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007667596858742616,"score_gpt":0.2261363285453769,"score_spread":0.2184687316866343,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}