2 papers
cond-mat.soft2026
A deviatoric-stress closure for constitutive modeling of viscoelastic dynamics
Souta Miyamoto, Shotaro Moro, Takeshi Sato +4
Standard rheological measurements yield only selected stress components; thus, inferring tensorial constitutive equations from experimentally accessible observables is complicated.…
cond-mat.supr-con2025
Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset
Kazuaki Tokuyama, Souta Miyamoto, Taichi Masuda +1
We present an ensemble machine-learning approach for composition-based, structure-agnostic screening of candidate superconductors among ternary hydrides under high pressure. Hydrog…