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A

Atsuto Seko

Kyoto University

37H指数
131论文数
4.6K被引数
收录论文 55
发表时间
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Simultaneous Exploration of Candidates for Electrode and Electrolyte Materials for All-Solid-State Batteries Using Predicted Rating from a Recommender System使用推荐系统的预测额定值同时探索全固态电池的电极和电解质材料的候选者
errACS APPLIED ENERGY MATERIALS
IF5.5
err2025-01-30
err0
errOAAI
errNakayama, Toshiya; Watanabe, Kenta; Iwamizu, Yudai; Suzuki, Kota; Matsui, Naoki; Seko, Atsuto; Tanaka, Isao; Kanno, Ryoji; Hirayama, Masaaki
err分享
err收藏
Globally stable and metastable crystal structure enumeration using polynomial machine learning potentials for elemental As, Bi, Ga, In, La, P, Sb, Sn, and Te
errPHYSICAL REVIEW B
IF3.7
err2024-12-02
err0
errOAAI
errSeko, Atsuto
err分享
err收藏
Projector-based efficient estimation of force constants
errPHYSICAL REVIEW B
IF3.7
err2024-12-02
err1
errOAAI
errSeko, Atsuto; Togo, Atsushi
err分享
err收藏
Predictive power of polynomial machine learning potentials for liquid states in 22 elemental systems
errPHYSICAL REVIEW B
IF3.7
err2024-06-24
err1
errOAAI
errWakai, Hayato; Seko, Atsuto; Izuta, Hirosato; Nishiyama, Takayuki; Tanaka, Isao
err分享
err收藏
On-the-fly training of polynomial machine learning potentials in computing lattice thermal conductivity
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2024-06-04
err4
errOAAI
errTogo, Atsushi; Seko, Atsuto
err分享
err收藏
Recommender system for discovery of inorganic compounds
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2022-10-13
err5
errOAAI
errHayashi, Hiroyuki; Seko, Atsuto; Tanaka, Isao
err分享
err收藏
Structure and lattice thermal conductivity of grain boundaries in silicon by using machine learning potential and molecular dynamics利用机器学习势和分子动力学研究硅中晶界的结构和晶格热导率
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2022-03-01
err21
errOAAI
errFujii, Susumu; Seko, Atsuto
err分享
err收藏
Finding well-optimized special quasirandom structures with decision diagram
errPHYSICAL REVIEW MATERIALS
IF3.4
err2021-11-29
err1
errOAAI
errShinohara, Kohei; Seko, Atsuto; Horiyama, Takashi; Tanaka, Isao
err分享
err收藏
Combination of recommender system and single-particle diagnosis for accelerated discovery of novel nitrides
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2021-06-14
err4
errOAAI
errKoyama, Yukinori; Seko, Atsuto; Tanaka, Isao; Funahashi, Shiro; Hirosaki, Naoto
err分享
err收藏
Application of machine learning potentials to predict grain boundary properties in fcc elemental metals
errPHYSICAL REVIEW MATERIALS
IF3.4
err2020-12-29
err40
errOAAI
errNishiyama, Takayuki; Seko, Atsuto; Tanaka, Isao
err分享
err收藏
Machine learning potentials for multicomponent systems: The Ti-Al binary system
errPHYSICAL REVIEW B
IF3.7
err2020-11-09
err28
errOAAI
errSeko, Atsuto
err分享
err收藏
Enumeration of nonequivalent substitutional structures using advanced data structure of binary decision diagram
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2020-09-09
err3
PREAI
errShinohara, Kohei; Seko, Atsuto; Horiyama, Takashi; Ishihata, Masakazu; Honda, Junya; Tanaka, Isao
err分享
err收藏
Prediction of perovskite-related structures in ACuO3-x (A = Ca, Sr, Ba, Sc, Y, La) using density functional theory and Bayesian optimization
errPHYSICAL REVIEW B
IF3.7
err2020-04-06
err18
errOAAI
errSeko, Atsuto; Ishiwata, Shintaro
err分享
err收藏
Fast material search of lithium ion conducting oxides using a recommender system
errJOURNAL OF MATERIALS CHEMISTRY A
IF9.5
err2020-01-01
err14
PREAI
errSuzuki, Kota; Ohura, Kosei; Seko, Atsuto; Iwamizu, Yudai; Zhao, Guowei; Hirayama, Masaaki; Tanaka, Isao; Kanno, Ryoji
err分享
err收藏
Recommender System of Successful Processing Conditions for New Compounds Based on a Parallel Experimental Data Set
errCHEMISTRY OF MATERIALS
IF7
err2019-11-19
err13
PREAI
errHayashi, Hiroyuki; Hayashi, Katsuyuki; Kouzai, Keita; Seko, Atsuto; Tanaka, Isao
err分享
err收藏
Group-theoretical high-order rotational invariants for structural representations: Application to linearized machine learning interatomic potential
errPHYSICAL REVIEW B
IF3.7
err2019-06-26
err39
errOAAI
errSeko, Atsuto; Togo, Atsushi; Tanaka, Isao
err分享
err收藏
Progress in nanoinformatics and informational materials science
errMRS BULLETIN
IF4.9
err2018-09-10
err8
PREAI
errSeko, Atsuto; Toyoura, Kazuaki; Muto, Shunsuke; Mizoguchi, Teruyasu; Broderick, Scott
err分享
err收藏
Linearized machine-learning interatomic potentials for non-magnetic elemental metals: Limitation of pairwise descriptors and trend of predictive power
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2018-06-21
err19
errOAAI
errTakahashi, Akira; Seko, Atsuto; Tanaka, Isao
err分享
err收藏
Compositional descriptor-based recommender system for the materials discovery
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2018-03-27
err34
errOAAI
errSeko, Atsuto; Hayashi, Hiroyuki; Tanaka, Isao
err分享
err收藏
Exploring a potential energy surface by machine learning for characterizing atomic transport
errPHYSICAL REVIEW B
IF3.7
err2018-03-15
err28
errOAAI
errKanamori, Kenta; Toyoura, Kazuaki; Honda, Junya; Hattori, Kazuki; Seko, Atsuto; Karasuyama, Masayuki; Shitara, Kazuki; Shiga, Motoki; Kuwabara, Akihide; Takeuchi, Ichiro
err分享
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研究方向

暂时未获取到该数据
合作学者
合作期刊
J
Jörg Neugebauer
H 指数: 99 · 论文数: 1.3K
R
Ryoji Kanno
H 指数: 82 · 论文数: 685
N
Naoto Hirosaki
H 指数: 75 · 论文数: 567
W
W. Y. Ching
H 指数: 73 · 论文数: 569
H
Hisao Yoshida
H 指数: 63 · 论文数: 451
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