{"id":"W4411711335","doi":"10.1016/j.mtcomm.2025.113206","title":"Integrated simulation framework for metal additive manufacturing: Powder deposition, melt pool dynamics and microstructure evolution with example of Ti-6Al-4V","year":2025,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China; Canadian Anesthesiologists' Society","keywords":"Materials science; Microstructure; Deposition (geology); Metallurgy; Metal; Metal powder; Molecular dynamics; Chemical engineering; Computational chemistry; Sediment","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":[0.0002762804,0.0006669511,0.0008011443,0.0004399476,0.00072735,0.001086142,0.001760735,0.001615469,0.007094352],"category_scores_gemma":[0.0006401886,0.000440462,0.0008067349,0.0004670808,0.0003886575,0.0006280381,0.0006881354,0.0007918476,0.0005942483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008139295,"about_ca_system_score_gemma":0.001588331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304281,"about_ca_topic_score_gemma":0.01655549,"domain_scores_codex":[0.9998777,0.00002468796,0.000005875452,0.00001757827,0.00004854256,0.00002571942],"domain_scores_gemma":[0.9997939,0.00008052246,0.00001552702,0.00002205209,0.00006202889,0.00002600225],"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":[0.00003598554,0.00005200984,0.0004567335,0.0000431822,0.00002377102,0.00006424888,0.00003337705,0.9875225,0.001548287,0.006963252,0.0005063012,0.002750205],"study_design_scores_gemma":[0.000009003974,0.000007554831,0.00006469194,0.00000304707,0.000004445061,0.000009178332,0.000005930454,0.997813,0.0004200438,0.0007968704,0.0008626542,0.000003592861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2250413,0.001007153,0.6996284,0.0009760428,0.0003829351,0.0002859277,0.002927623,0.005648353,0.06410245],"genre_scores_gemma":[0.870905,0.0005541599,0.1152723,0.0001845084,0.00005879202,0.0003984535,0.001358465,0.0005996208,0.0106688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02304281,"threshold_uncertainty_score":0.04581738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183005497496663,"score_gpt":0.2493564239679596,"score_spread":0.237526368992993,"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."}}