{"id":"W3180814639","doi":"10.1016/j.mssp.2021.106047","title":"Investigation of Ruthenium based Full-Heusler compound for thermic, spintronics and thermoelectric applications: DFT computation","year":2021,"lang":"en","type":"article","venue":"Materials Science in Semiconductor Processing","topic":"Heusler alloys: electronic and magnetic properties","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"MPB Technologies & Communications (Canada)","funders":"","keywords":"Spintronics; Materials science; Pseudogap; Thermoelectric effect; Condensed matter physics; Heusler compound; Density functional theory; Ternary operation; Fermi level; Electronic structure; Thermoelectric materials; Ab initio; Thermodynamics; Computational chemistry; Quantum mechanics; Physics; Optoelectronics; Ferromagnetism; Electron; Chemistry; Computer science","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":[0.0002809678,0.0003803163,0.001049733,0.000545484,0.0009498391,0.0009013157,0.00142281,0.001367157,0.005704212],"category_scores_gemma":[0.000389918,0.0002722275,0.0003955269,0.000508042,0.0005476821,0.000946736,0.0004499551,0.0008418759,0.0005251259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149577,"about_ca_system_score_gemma":0.0008346058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013058,"about_ca_topic_score_gemma":0.006298378,"domain_scores_codex":[0.9998953,0.00002089014,0.000002747694,0.00001036283,0.00003906447,0.00003157512],"domain_scores_gemma":[0.9998628,0.00004678376,0.00001666806,0.00002464485,0.00002943509,0.00001961406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0012383,0.0005967555,0.003829999,0.002820822,0.0002789412,0.002937839,0.0005015313,0.2154157,0.135115,0.5814795,0.01879799,0.03698765],"study_design_scores_gemma":[0.0001803545,0.0002977291,0.002372676,0.0001162011,0.00007090297,0.0003571725,0.0003278553,0.9348587,0.0170903,0.03881137,0.005472383,0.00004431197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148554,0.00294082,0.01834296,0.001827525,0.0003279827,0.00009786632,0.0005466414,0.0003575465,0.06070339],"genre_scores_gemma":[0.9847377,0.0006491939,0.009444162,0.0001802504,0.00004051627,0.00009351589,0.0002998637,0.00008582351,0.004469056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005704212,"threshold_uncertainty_score":0.01908255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780187965680168,"score_gpt":0.2681405069085654,"score_spread":0.2403386272517637,"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."}}