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Masayuki Karasuyama

nagoya institute of technology

19H-index
132Paper Count
1.2KCitation Count
Published Papers 34
Publication Date
Anomaly-Detection-Driven Screening of Thermodynamic Stability from Composition Descriptors Alone
err2026-02-10
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errOAAI
errKeisuke Makino; Yudai Yamaguchi; Naoto Tanibata; Hayami Takeda; Ryo Kobayashi; Masayuki Karasuyama; Masanobu Nakayama
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Deep Learning Based SEM Image Analysis for Predicting Ionic Conductivity in LiZr2(PO4)3-Based Solid Electrolytes
err2025-12-15
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errOAAI
errKento Murakami; Yudai Yamaguchi; Yo Kato; Kazuki Ishikawa; Naoto Tanibata; Hayami Takeda; Masanobu Nakayama; Masayuki Karasuyama
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Causal Relationship between Potential Shift and Molecular Structure in Concentrated Electrolytes
err2025-11-01
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PREAI
errYokoyama, Yumika; Nakamura, Kou; Tanibata, Naoto; Takeda, Hayami; Karasuyama, Masayuki; Kobayashi, Ryo; Takenaka, Norio; Yamada, Atsuo; Nakayama, Masanobu
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Exploration of nonlinear optical materials by introducing information science
err2025-10-17
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PREAI
errKosuke Shirai; Tomoyuki Tamura; Ming-Hsien Lee; Bingbing Zhang; Masayuki Karasuyama
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Causal Analysis of Factors for Li Ionic Conductivity in Olivine-Type LiMXO4 Materials Using LiNGAM
err2025-01-07
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PREAI
errGocho, Koichi; Hamaie, Masato; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Kobayashi, Ryo
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Prediction of Li-ion conductivity in Ca and Si co-doped LiZr2(PO4)3 using a denoising autoencoder for experimental data
err2024-11-26
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errOAAI
errYokoyama, Yumika; Noguchi, Shuto; Ishikawa, Kazuki; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Kobayashi, Ryo; Karasuyama, Masayuki
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Deep learning based emulator for predicting voltage behaviour in lithium ion batteries
err2024-11-21
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errOAAI
errOka, Kanato; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Noguchi, Syuto; Karasuyama, Masayuki; Fujiwara, Yoshiya; Miyuki, Takuhiro
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First-principles study on the lithiation process of amorphous SiO anode for Li-ion batteries with Bayesian optimization
err2024-01-01
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PREAI
errShintaku, Ryoya; Tamura, Tomoyuki; Nogami, Shogo; Karasuyama, Masayuki; Hirose, Takakazu
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Drawing a materials map with an autoencoder for lithium ionic conductors
err2023-10-05
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errOAAI
errYamaguchi, Yudai; Atsumi, Taruto; Kanamori, Kenta; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro
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Optimization of force-field potential parameters using conditional variational autoencoder
err2023-09-11
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errOAAI
errMatsunoshita, Koki; Yamaguchi, Yudai; Hamaie, Masato; Horibe, Motoki; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Kobayashi, Ryo
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Machine-learning-based prediction of first-principles XANES spectra for amorphous materials
err2022-11-17
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PREAI
errHirai, Haruki; Iizawa, Takumi; Tamura, Tomoyuki; Karasuyama, Masayuki; Kobayashi, Ryo; Hirose, Takakazu
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Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction
err2022-03-01
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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
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Chemical Composition Data-Driven Machine-Learning Prediction for Phase Stability and Materials Properties of Inorganic Crystalline Solids
err2022-02-16
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PREAI
errAtsumi, Taruto; Sato, Kosei; Yamaguchi, Yudai; Hamaie, Masato; Yasuda, Risa; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro
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Na superionic conductor-type LiZr2(PO4)3 as a promising solid electrolyte for use in all-solid-state Li metal batteries
err2022-01-01
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errOAAI
errNakayama, Masanobu; Nakano, Koki; Harada, Maho; Tanibata, Naoto; Takeda, Hayami; Noda, Yusuke; Kobayashi, Ryo; Karasuyama, Masayuki; Takeuchi, Ichiro; Kotobuki, Masashi
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Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries
err2022-01-01
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errOAAI
errFukuda, Hiroko; Kusakawa, Shunya; Nakano, Koki; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro; Natori, Takaaki; Ono, Yasuharu
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Distance metric learning for graph structured data
err2021-06-16
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errOAAI
errYoshida, Tomoki; Takeuchi, Ichiro; Karasuyama, Masayuki
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Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design (vol 4, pg 362, 2021)
err2021-04-30
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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
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Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design
err2021-03-19
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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
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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
err2020-12-29
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PREAI
errYang, Zijian; Suzuki, Shinya; Tanibata, Naoto; Takeda, Hayami; Nakayama, Masanobu; Karasuyama, Masayuki; Takeuchi, Ichiro
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