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Author

Kosuke Nakago

Observed name: Nakago, Kosuke
Institution: Kyoto University
ORCID: 0000-0002-8825-4181
Observed ORCID: 0000-0002-8825-4181
OpenAlex ID: A5000297964
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
2022 · So Takamoto, Chikashi Shinagawa, et al. · Nature Communications · 464
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GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
2019 · Madhawa, Kaushalya, Ishiguro, Katushiko, et al. · arXiv (Cornell University) · 168
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BayesGrad: Explaining Predictions of Graph Convolutional Networks
2018 · Hirotaka Akita, Kosuke Nakago, et al. · Lecture notes in computer science · 10
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Universally Exhaustive Generation of Molecular Structures and Prediction of Their Electronic States Using Machine Learning for N‐type Organic Transistor Materials
2023 · Akira Ohno, Jun‐ichi Hanna, et al. · Chemistry - An Asian Journal · 6
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Parallelizable adiabatic gate teleportation
2015 · Kosuke Nakago, Michal Hajdušek, et al. · Physical Review A · 6
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Calculations of Real-System Nanoparticles Using Universal Neural Network Potential PFP
2021 · Huerta, Gerardo Valadez, Nanba, Yusuke, et al. · arXiv (Cornell University) · 5
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EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
2025 · Sugiura, Issa, Ishida, Takashi, et al. · arXiv (Cornell University) · 3
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High-throughput investigation of stability and Li diffusion of doped solid electrolytes via neural network potential without configurational knowledge
2024 · Ryohto Sawada, Kosuke Nakago, et al. · Scientific Reports · 3
High-temperature multi-element 2021 (HME21) dataset
2022 · Takamoto, So, Shinagawa, Chikashi, et al. · Figshare · 3
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency
2024 · Elements, Preferred, :, et al. · arXiv (Cornell University) · 2
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Recent progress of deep learning and its application to chemical synthesis
2021 · Kosuke Nakago · The Chemical Society of Japan
Works count: 14
Citation count: 670
H-index: 5
I10-index: 3
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