{"id":"W4415531550","doi":"10.1016/j.jallcom.2025.184593","title":"Innovative Al/Cu/Sn/Ni multi-layer composites: Tailoring mechanical properties and wear behavior through accumulative roll bonding (ARB) and post heat treatment","year":2025,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Brittleness; Intermetallic; Ultimate tensile strength; Accumulative roll bonding; Kirkendall effect; Toughness; Composite number; Grain size; Fracture toughness","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107523,0.0003040574,0.0001496245,0.0002723231,0.0001904805,0.0002845684,0.0002279094,0.0002405383,0.0007389244],"category_scores_gemma":[0.0001288756,0.0001815766,0.0001267768,0.0001521225,0.0001165273,0.0002338754,0.0001480542,0.0002739883,0.0002813165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001304607,"about_ca_system_score_gemma":0.0001532643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003654165,"about_ca_topic_score_gemma":0.002532676,"domain_scores_codex":[0.999925,0.000004901814,0.000004551732,0.00002040056,0.00003231911,0.00001286951],"domain_scores_gemma":[0.9998978,0.000007746542,0.00002690069,0.00001408422,0.00003635168,0.00001698044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004288625,0.00002285147,0.0001417275,0.00003335213,0.000004009764,0.00001860216,0.00001989663,0.0001531285,0.9970801,0.00004589121,0.00005567822,0.002381738],"study_design_scores_gemma":[0.000005886048,0.0002105768,0.001797663,0.000002557577,0.00001573681,0.00004623858,0.00003264439,0.00224357,0.9945022,0.00001497835,0.001121028,0.000006932047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99283,0.0005118842,0.004689324,0.00002742333,0.00006036024,0.00001915604,0.00008940007,0.0002860999,0.001486435],"genre_scores_gemma":[0.9907874,0.0001639944,0.006248754,0.00001360627,0.000009466892,0.00001881334,0.00005726957,0.00003229183,0.002668385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007389244,"threshold_uncertainty_score":0.002471924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0509351698329952,"score_gpt":0.2762606304569665,"score_spread":0.2253254606239713,"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."}}