{"id":"W4413364003","doi":"10.1016/j.actamat.2025.121436","title":"Spall failure of alumina at high-strain rates using femtosecond laser experiments and high-fidelity molecular dynamics simulations","year":2025,"lang":"en","type":"article","venue":"Acta Materialia","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Materials science; Spall; Femtosecond; Molecular dynamics; Strain (injury); Laser; High fidelity; Strain rate; Dynamics (music); Nanotechnology; Composite material; Optics; Computational chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004996789,0.0001446763,0.000222447,0.00009782905,0.00007069766,0.00007201052,0.00007549264,0.00007858961,0.0004509071],"category_scores_gemma":[0.0000115383,0.0001523908,0.00004164616,0.0001271196,0.00003230629,0.0001549119,0.00006237566,0.00004890529,0.000003557624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414409,"about_ca_system_score_gemma":0.00001296869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004428443,"about_ca_topic_score_gemma":0.0001866921,"domain_scores_codex":[0.999321,0.00002776927,0.0002759972,0.0001590256,0.00007110768,0.0001451269],"domain_scores_gemma":[0.9996404,0.00001654444,0.00005254885,0.0002094537,0.00004898275,0.00003207263],"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":[0.000008835798,0.00001874881,0.0006388162,0.00007417279,0.0001452217,0.000002861204,0.00006833195,0.01690018,0.9815976,0.0003332505,0.0001718221,0.00004013448],"study_design_scores_gemma":[0.0004293595,0.00001199659,0.002750343,0.00008472019,0.0001300953,0.000001646632,0.0001789892,0.145512,0.8497492,0.0003593201,0.0005711928,0.0002211948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99729,0.00002696318,0.001329118,0.00008453491,0.0007104256,0.00008746835,0.0003553375,0.00004378767,0.0000723645],"genre_scores_gemma":[0.9974119,0.000005860873,0.00198388,0.00001639763,0.00001932403,0.000003976211,0.0001736835,0.00001864614,0.0003663523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1318484,"threshold_uncertainty_score":0.6214316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007448312386699414,"score_gpt":0.2569691631418772,"score_spread":0.2495208507551778,"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."}}