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Atsuto Seko — most-cited papers & profile · AI for Science
← authors
·
overview
Atsuto Seko
5
papers ·
1
citations
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Most-cited papers
Structure and lattice thermal conductivity of grain boundaries in silicon by using machine learning potential and molecular dynamics
2021 · 1 citations
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
2025
Global structure searches under varying temperatures and pressures using polynomial machine learning potentials: A case study on silicon
2025
Systematic development of polynomial machine learning potentials for metallic and alloy systems
2022
Globally-stable and metastable crystal structure enumeration using polynomial machine learning potentials in elemental As, Bi, Ga, In, La, P, Sb, Sn, and Te
2024
Top co-authors
Isao Tanaka
· 2
Adil Kabylda
· 1
Alastair J. A. Price
· 1
Alba Quinones Andrade and Jose-Hugo Garcia
· 1
Alexandre Tkatchenko
· 1
Alexei Lapkin
· 1
Amandine E. Debus
· 1
Amrita Joshi
· 1
Andrei Tomut
· 1
Andrey Ustyuzhanin
· 1
Bryant Y. Li
· 1
Bun Chan
· 1
Topics
Physics ML
Materials
Chemistry
Climate & Weather