logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
M

Masayuki Karasuyama

nagoya institute of technology

19H指数
132论文数
1.2K被引数
收录论文 34
发表时间
logo
Anomaly-Detection-Driven Screening of Thermodynamic Stability from Composition Descriptors Alone仅通过组成描述符进行的热力学稳定性异常检测驱动的筛选
errThe Journal of Physical Chemistry Letters
IF0
err2026-02-10
err0
errOAAI
errKeisuke Makino; Yudai Yamaguchi; Naoto Tanibata; Hayami Takeda; Ryo Kobayashi; Masayuki Karasuyama; Masanobu Nakayama
err分享
err收藏
Deep Learning Based SEM Image Analysis for Predicting Ionic Conductivity in LiZr2(PO4)3-Based Solid Electrolytes基于深度学习的SEM图像分析预测LiZr2(PO4)3基固态电解质离子电导率
errDigital Discovery
IF5.6
err2025-12-15
err0
errOAAI
errKento Murakami; Yudai Yamaguchi; Yo Kato; Kazuki Ishikawa; Naoto Tanibata; Hayami Takeda; Masanobu Nakayama; Masayuki Karasuyama
err分享
err收藏
Causal Relationship between Potential Shift and Molecular Structure in Concentrated Electrolytes浓缩电解质中电位移动与分子结构之间的因果关系
errJOURNAL OF PHYSICAL CHEMISTRY B
IF2.9
err2025-11-01
err0
PREAI
errYokoyama, Yumika; Nakamura, Kou; Tanibata, Naoto; Takeda, Hayami; Karasuyama, Masayuki; Kobayashi, Ryo; Takenaka, Norio; Yamada, Atsuo; Nakayama, Masanobu
err分享
err收藏
Exploration of nonlinear optical materials by introducing information science通过引入信息科学探索非线性光学材料
errJ. Mater. Chem. C
IF0
err2025-10-17
err0
PREAI
errKosuke Shirai; Tomoyuki Tamura; Ming-Hsien Lee; Bingbing Zhang; Masayuki Karasuyama
err分享
err收藏
Causal Analysis of Factors for Li Ionic Conductivity in Olivine-Type LiMXO4 Materials Using LiNGAM
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2025-01-07
err0
PREAI
errGocho, Koichi; Hamaie, Masato; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Kobayashi, Ryo
err分享
err收藏
Prediction of Li-ion conductivity in Ca and Si co-doped LiZr2(PO4)3 using a denoising autoencoder for experimental data
errAPL MATERIALS
IF4.5
err2024-11-26
err0
errOAAI
errYokoyama, Yumika; Noguchi, Shuto; Ishikawa, Kazuki; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Kobayashi, Ryo; Karasuyama, Masayuki
err分享
err收藏
Deep learning based emulator for predicting voltage behaviour in lithium ion batteries基于深度学习的锂离子电池电压行为预测仿真器
errSCIENTIFIC REPORTS
IF3.9
err2024-11-21
err0
errOAAI
errOka, Kanato; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Noguchi, Syuto; Karasuyama, Masayuki; Fujiwara, Yoshiya; Miyuki, Takuhiro
err分享
err收藏
First-principles study on the lithiation process of amorphous SiO anode for Li-ion batteries with Bayesian optimization基于贝叶斯优化的锂离子电池非晶SiO负极锂化过程第一性原理研究
errPHYSICAL CHEMISTRY CHEMICAL PHYSICS
IF2.9
err2024-01-01
err0
PREAI
errShintaku, Ryoya; Tamura, Tomoyuki; Nogami, Shogo; Karasuyama, Masayuki; Hirose, Takakazu
err分享
err收藏
Drawing a materials map with an autoencoder for lithium ionic conductors
errSCIENTIFIC REPORTS
IF3.9
err2023-10-05
err3
errOAAI
errYamaguchi, Yudai; Atsumi, Taruto; Kanamori, Kenta; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro
err分享
err收藏
Optimization of force-field potential parameters using conditional variational autoencoder使用条件变分自动编码器优化力场势参数
errSCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS-METHODS
IF2.8
err2023-09-11
err0
errOAAI
errMatsunoshita, Koki; Yamaguchi, Yudai; Hamaie, Masato; Horibe, Motoki; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Kobayashi, Ryo
err分享
err收藏
Machine-learning-based prediction of first-principles XANES spectra for amorphous materials
errPHYSICAL REVIEW MATERIALS
IF3.4
err2022-11-17
err6
PREAI
errHirai, Haruki; Iizawa, Takumi; Tamura, Tomoyuki; Karasuyama, Masayuki; Kobayashi, Ryo; Hirose, Takakazu
err分享
err收藏
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction
errIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IF10.4
err2022-03-01
err1
PREAI
errVo Nguyen Le Duy; Sakuma, Takuto; Ishiyama, Taiju; Toda, Hiroki; Arai, Kazuya; Karasuyama, Masayuki; Okubo, Yuta; Sunaga, Masayuki; Hanada, Hiroyuki; Tabei, Yasuo; Takeuchi, Ichiro
err分享
err收藏
Chemical Composition Data-Driven Machine-Learning Prediction for Phase Stability and Materials Properties of Inorganic Crystalline Solids
errPHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS
IF1.8
err2022-02-16
err4
PREAI
errAtsumi, Taruto; Sato, Kosei; Yamaguchi, Yudai; Hamaie, Masato; Yasuda, Risa; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro
err分享
err收藏
Na superionic conductor-type LiZr2(PO4)3 as a promising solid electrolyte for use in all-solid-state Li metal batteriesNa超离子导体型LiZr2(PO4)3作为用于全固态锂金属电池的有前途的固体电解质
errCHEMICAL COMMUNICATIONS
IF4.2
err2022-01-01
err10
errOAAI
errNakayama, Masanobu; Nakano, Koki; Harada, Maho; Tanibata, Naoto; Takeda, Hayami; Noda, Yusuke; Kobayashi, Ryo; Karasuyama, Masayuki; Takeuchi, Ichiro; Kotobuki, Masashi
err分享
err收藏
Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries
errRSC ADVANCES
IF4.6
err2022-01-01
err7
errOAAI
errFukuda, Hiroko; Kusakawa, Shunya; Nakano, Koki; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro; Natori, Takaaki; Ono, Yasuharu
err分享
err收藏
Distance metric learning for graph structured data
errMACHINE LEARNING
IF2.9
err2021-06-16
err8
errOAAI
errYoshida, Tomoki; Takeuchi, Ichiro; Karasuyama, Masayuki
err分享
err收藏
Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design (vol 4, pg 362, 2021)
errCOMMUNICATIONS BIOLOGY
IF5.1
err2021-04-30
err0
errOAAI
errInoue, Keiichi; Karasuyama, Masayuki; Nakamura, Ryoko; Konno, Masae; Yamada, Daichi; Mannen, Kentaro; Nagata, Takashi; Inatsu, Yu; Yawo, Hiromu; Yura, Kei; Beja, Oded; Kandori, Hideki; Takeuchi, Ichiro
err分享
err收藏
Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design
errCOMMUNICATIONS BIOLOGY
IF5.1
err2021-03-19
err22
errOAAI
errInoue, Keiichi; Karasuyama, Masayuki; Nakamura, Ryoko; Konno, Masae; Yamada, Daichi; Mannen, Kentaro; Nagata, Takashi; Inatsu, Yu; Yawo, Hiromu; Yura, Kei; Beja, Oded; Kandori, Hideki; Takeuchi, Ichiro
err分享
err收藏
Efficient Experimental Search for Discovering a Fast Li-Ion Conductor from a Perovskite-Type LixLa(1-x)/3NbO3 (LLNO) Solid-State Electrolyte Using Bayesian Optimization使用贝叶斯优化从钙钛矿型LixLa(1-x)/3NbO3 (LLNO) 固态电解质中发现快速锂离子导体的有效实验搜索
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2020-12-29
err19
PREAI
errYang, Zijian; Suzuki, Shinya; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro
err分享
err收藏
Prediction of formation energies of large-scale disordered systems via active-learning-based executions of ab initio local-energy calculations: A case study on a Fe random grain boundary model with millions of atoms
errPHYSICAL REVIEW MATERIALS
IF3.4
err2020-11-05
err6
errOAAI
errTamura, Tomoyuki; Karasuyama, Masayuki
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
J
Joshua M. Stuart
H 指数: 170 · 论文数: 578
W
William C. Hahn
H 指数: 147 · 论文数: 1.1K
D
David E. Root
H 指数: 106 · 论文数: 812
A
Atsuo Yamada
H 指数: 95 · 论文数: 466
F
Francisca Vázquez
H 指数: 76 · 论文数: 520
查看更多