{"id":"W7117885829","doi":"10.1016/j.jcp.2025.114641","title":"A constrained-transport embedded boundary method for compressible resistive magnetohydrodynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Fusion (Canada)","funders":"Los Alamos National Laboratory; National Nuclear Security Administration; U.S. Department of Energy; Strategic Innovation Fund; Laboratory Directed Research and Development; Government of Canada","keywords":"Riemann solver; Solver; Resistive touchscreen; Cartesian coordinate system; Discontinuity (linguistics); Boundary value problem; Finite volume method; Boundary (topology); Compressibility","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":[0.0001647058,0.0001471959,0.0003084067,0.00009788101,0.0001675453,0.00006195061,0.0001478055,0.00003084296,0.0001054683],"category_scores_gemma":[0.0000209165,0.0001345819,0.0002817445,0.0002021879,0.00006827362,0.0002126234,0.00001698968,0.0002045856,0.000006435078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004106214,"about_ca_system_score_gemma":0.000536149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002145468,"about_ca_topic_score_gemma":0.000001856583,"domain_scores_codex":[0.9989898,0.00003711662,0.0005024417,0.0001251754,0.0001989307,0.0001465753],"domain_scores_gemma":[0.9974363,0.001199998,0.0003930895,0.00008627786,0.0008218727,0.00006239676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002175922,0.0005784892,0.002041788,0.00006081664,0.0005409951,0.000005237211,0.0001232029,0.6789514,0.000192961,0.2994097,0.008479386,0.009398419],"study_design_scores_gemma":[0.00210399,0.0001638988,0.003396683,0.0001876263,0.0002909646,0.0000077165,0.0002299765,0.2420559,0.0008699067,0.7422094,0.008284269,0.0001995942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02661106,0.00001330392,0.9629402,0.0002963924,0.0004973317,0.0001592312,0.0002853321,0.000008811602,0.009188348],"genre_scores_gemma":[0.776175,0.00000119773,0.2224984,0.0001571119,0.0004028789,0.000009989329,0.0001396366,0.00001292098,0.0006028369],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7495639,"threshold_uncertainty_score":0.5488091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008627041431214344,"score_gpt":0.3058917452068193,"score_spread":0.2972647037756049,"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."}}