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So Takamoto — most-cited papers & profile · AI for Science
← authors
·
overview
So Takamoto
5
papers ·
2
citations
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Semantic Scholar ↗
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Most-cited papers
LightPFP: A Lightweight Route to Ab Initio Accuracy at Scale
2025 · 2 citations
PFP/MM: A Hybrid Approach Combining a Universal Neural Network Potential with Classical Force Fields for Large-Scale Reactive Simulations
2026
Efficient Crystal Structure Prediction Using Universal Neural Network Potential with Diversity Preservation in Genetic Algorithms
2025
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations
2019
Towards Universal Neural Network Potential for Material Discovery Applicable to Arbitrary Combination of 45 Elements
2021
Top co-authors
Chikashi Shinagawa
· 2
Ju Li
· 2
Nontawat Charoenphakdee
· 2
Wenwen Li
· 2
Akihide Hayashi
· 1
Akihide Hayashi
· 1
and Hodaka Mori
· 1
Atsuhiro Tomita
· 1
Daisuke Motoki
· 1
Hideaki Imamura
· 1
Hideki Ono
· 1
Hiroki Iriguchi
· 1
Topics
Materials
Chemistry
Physics ML
Protein Science
Drug Discovery