{"id":"W3016956162","doi":"10.1103/physrevmaterials.4.043602","title":"Continuous strengthening in nanotwinned high-entropy alloys enabled by martensite transformation","year":2020,"lang":"en","type":"article","venue":"Physical Review Materials","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Materials science; Stacking-fault energy; Nanocrystalline material; Softening; Martensite; Condensed matter physics; Diffusionless transformation; Stacking; High entropy alloys; Strengthening mechanisms of materials; Metallurgy; Thermodynamics; Composite material; Nanotechnology; Grain size; Microstructure","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":[0.00005995409,0.000134119,0.0001713085,0.0001374049,0.000146617,0.0002514842,0.0002686698,0.0001518906,0.0006534832],"category_scores_gemma":[0.000163284,0.0001396611,0.000122118,0.00009499847,0.0003440437,0.0002905423,0.0002908086,0.0002155282,0.00006431439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977636,"about_ca_system_score_gemma":0.0001336725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005888742,"about_ca_topic_score_gemma":0.001010536,"domain_scores_codex":[0.9999652,0.000004132303,0.000002117194,0.000008484694,0.00001311795,0.000006889422],"domain_scores_gemma":[0.9999689,0.000008826489,0.000009353657,0.000005597162,0.000003711134,0.000003647162],"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":[0.0001253745,0.00003725857,0.001847989,0.0002284922,0.00003862352,0.0002674431,0.0001127965,0.02086298,0.9657886,0.00557646,0.0001271533,0.004986899],"study_design_scores_gemma":[0.00005148445,0.0004029053,0.0100362,0.00002276905,0.00004268309,0.0002142244,0.0001588167,0.1342174,0.8483077,0.003102624,0.003420493,0.00002264851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966804,0.0003088615,0.001624286,0.00002950824,0.000009028619,0.000004360238,0.00002143742,0.00002327234,0.001298856],"genre_scores_gemma":[0.9990716,0.0001085336,0.0006242976,0.000005495181,0.00000140787,0.000002624189,0.00001596468,0.000004105739,0.0001659367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006534832,"threshold_uncertainty_score":0.00218612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008447936827002435,"score_gpt":0.2215930322355962,"score_spread":0.2131450954085938,"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."}}