{"id":"W3063297419","doi":"10.1016/j.carbon.2020.08.036","title":"Designing ultrahard nanostructured diamond through internal defects and interface engineering at different length scales","year":2020,"lang":"en","type":"article","venue":"Carbon","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"School of Graduate Studies, Queen's University; National Key Research and Development Program of China; European Regional Development Fund; Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; Recruitment Program of Global Experts; Grantová Agentura České Republiky; National Natural Science Foundation of China","keywords":"Materials science; Nucleation; Grain boundary; Toughness; Nanocrystalline material; Diamond; Plasticity; Dislocation; Nanowire; Fracture toughness; Amorphous solid; Multiscale modeling; Composite material; Nanotechnology; Crystallography; Microstructure; Thermodynamics","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":[0.0001543167,0.000249042,0.0002174314,0.0001881025,0.0002293542,0.0007640473,0.0005444963,0.0004840615,0.001063089],"category_scores_gemma":[0.0002802433,0.0002033227,0.0001752802,0.0001365882,0.0003387008,0.0005244964,0.0004555384,0.0007568633,0.0003104684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006387441,"about_ca_system_score_gemma":0.0003058897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004853707,"about_ca_topic_score_gemma":0.001833954,"domain_scores_codex":[0.9998665,0.000004690059,0.000005709954,0.00003148818,0.00006427388,0.00002736696],"domain_scores_gemma":[0.9998166,0.00004247303,0.00004210209,0.00003105213,0.00004157728,0.00002628588],"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":[0.00004655758,0.00007240535,0.0004380946,0.00009992825,0.00001086973,0.00007049925,0.00005209912,0.004767087,0.9845045,0.003064462,0.0001842316,0.006689195],"study_design_scores_gemma":[0.000028156,0.000228317,0.001183637,0.00000954407,0.0000128416,0.00006909588,0.0001042364,0.03028582,0.9634797,0.0009977778,0.003578155,0.00002274604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606929,0.0005284211,0.02975475,0.0001033044,0.00006975091,0.00005819199,0.0001132831,0.0001884435,0.008490901],"genre_scores_gemma":[0.9743817,0.0002463967,0.02341025,0.00003645264,0.000006999213,0.00004188142,0.00009705346,0.00006728232,0.00171207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001063089,"threshold_uncertainty_score":0.00463438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531105715957433,"score_gpt":0.23613073563413,"score_spread":0.2208196784745556,"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."}}