1 citations · 1 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
Search for high-pressure phases of yttrium via a data assimilation approach
Yuuki Kubo, Takahiro Ishikawa, Yuta Tanaka +3
We investigate the distorted face-centered-cubic (dfcc) phase of yttrium (Y) using a data-assimilation-based structure search that combines high-resolution powder x-ray diffraction…
physics.chem-ph2026★ 1 cited
Matlantis-PFP v8: Universal Machine Learning Interatomic Potential with Better Experimental Agreements via r2SCAN Functional
Chikashi Shinagawa, So Takamoto, Daiki Shintani +7
Universal Machine Learning Interatomic Potentials (uMLIPs) enable atomistic simulations and high-throughput screening at scales far beyond those accessible with density functional…
cond-mat.supr-con2023
Evolutionary search for superconducting phases in the lanthanum-nitrogen-hydrogen system with universal neural network potential
Takahiro Ishikawa, Yuta Tanaka, Shinji Tsuneyuki
Recently, Grockowiak reported "hot superconductivity" in ternary or multinary compounds based on lanthanum hydride [A. D. Grockowiak , Front. Ele…