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Yasuhiko Igarashi

Institute of Systems and Information Engineering

21H指数
132论文数
1.4K被引数
收录论文 34
发表时间
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Bayesian optimization of submarine landslide parameters for the 2020 Alaska Sand Point tsunami2020年阿拉斯加桑德波因特海啸中海底滑坡参数的贝叶斯优化
errEarth Planets and Space
IF2.5
err2026-09-29
err0
errOAAI
errAkino Naitoh; Toshitaka Baba; Yasuhiko Igarashi
err分享
err收藏
Large-language-model-driven adaptive search space definition for autonomous closed-loop materials exploration大语言模型驱动的自适应搜索空间定义用于自主闭环材料探索
errCommunications Materials
IF9.6
err2026-08-25
err0
errOAAI
errYuma Iwasaki; Ryo Toyama; Ryo Tamura; Shoichi Matsuda; Yuya Sakuraba; Masato Kotsugi; Yasuhiko Igarashi; Keitaro Sodeyama
err分享
err收藏
Anomaly detection of fermi surface morphology in Co2MnGaxGe1-x via interpretable machine learning通过可解释机器学习检测Co2MnGaxGe1-x费米面形貌的异常
errScientific Reports
IF3.9
err2026-04-01
err0
errOAAI
errIshikawa, Daichi; Fuku, Kentaro; Miura, Yoshio; Igarashi, Yasuhiko; Iwasaki, Yuma; Sakuraba, Yuya; Yaji, Koichiro; Foggiatto, Alexandre Lira; Yamazaki, Takahiro; Nagamura, Naoka; Kotsugi, Masato
err分享
err收藏
Prediction of the phase transition temperatures of functional nanostructured liquid crystals: machine learning method based on small data for the design of self-assembled materials功能性纳米结构液晶相变温度的预测：基于小数据用于自组装材料设计的机器学习方法
errNanoscale
IF5.1
err2025-12-10
err0
PREAI
errShingo Takegawa; Haruka Tobita; Yasuhiko Igarashi; Yuya Oaki; Takashi Kato
err分享
err收藏
Networking autonomous material exploration systems through transfer learning通过迁移学习连接自主材料探索网络系统
errnpj Computational Materials
IF11.9
err2025-12-09
err0
errOAAI
errNaoki Yoshida; Yutaro Iwabuchi; Yasuhiko Igarashi; Yuma Iwasaki
err分享
err收藏
Domain-specific simulated data enhances knife-mark noise suppression in microscopy images of materials领域特定的模拟数据增强了材料显微图像中的刀痕噪声抑制
errMICROSCOPY
IF1.9
err2025-11-01
err0
PREAI
errSuzuki, Masato; Igarashi, Yasuhiko
err分享
err收藏
A Seafloor Pressure Sensor Effectiveness Evaluation in a Tsunami Height Estimation Model Using Gaussian Process Regression with Automatic Relevance Determination使用自动相关性确定的高斯过程回归方法评估海啸高度估算模型中海底压力传感器的有效性
errJOURNAL OF DISASTER RESEARCH
IF0.7
err2025-10-01
err0
PREAI
errIwabuchi, Yutaro; Baba, Toshitaka; Hori, Takane; Okada, Masato; Igarashi, Yasuhiko
err分享
err收藏
Estimation of 90Sr and 137Cs activity concentrations in Chornobyl wood: significance of factors and classical vs. machine learning methods切尔诺贝利木材中90Sr和137Cs活度浓度的估算：影响因素的意义及传统方法与机器学习方法的比较
errJOURNAL OF ENVIRONMENTAL RADIOACTIVITY
IF2.1
err2025-10-01
err0
PREAI
errHoliaka, D.; Igarashi, Y.; Yoschenko, V.; Zadorozhniuk, R.; Levchuk, S.; Holiaka, M.; Kiva, O.; Smith, J. T.; Oughton, D. H.; Morozova, V.; Lesnik, O.; Chyzhevskyi, I.; Diachuk, P.; Kato, H.; Onda, Y.; Kashparov, V.
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Cover Feature: Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode-Active Materials of Lithium-Ion Battery (Batteries & Supercaps 9/2025)封面专题：适用于锂离子电池有机正极活性材料的性能预测模型，具有改进的准确性和泛化性（Batteries & Supercaps 9/2025）
errBatteries & Supercaps
IF4.7
err2025-09-04
err0
errOAAI
errRika Yamamoto; Yasuhiko Igarashi; Hiroaki Imai; Taisei Sakata; Shuntaro Miyakawa; Shino Yoshizaki; Takaya Saito; Yuya Oaki
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err收藏
Data-scientific validation of prediction models for the controlled syntheses of exfoliated nanosheets数据科学方法对可控合成剥离纳米片预测模型的验证
errNanoscale Adv.
IF4.6
err2025-07-23
err0
errOAAI
errYuka Kitamura; Yuki Namiuchi; Hiroaki Imai; Yasuhiko Igarashi; Yuya Oaki
err分享
err收藏
Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy基于稀疏编码的多帧超分辨率技术用于高效的同步辐射微光谱成像
errDiscover Nano
IF4.5
err2025-07-03
err0
errOAAI
errYasuhiko Igarashi; Naoka Nagamura; Masahiro Sekine; Hirokazu Fukidome; Hideitsu Hino; Masato Okada
err分享
err收藏
Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode-Active Materials of Lithium-Ion Battery用于锂离子电池有机正极活性材料的具有改进精度和泛化能力的性能预测模型
errBatteries & Supercaps
IF4.7
err2025-05-28
err0
PREAI
errRika Yamamoto; Yasuhiko Igarashi; Hiroaki Imai; Taisei Sakata; Shuntaro Miyakawa; Shino Yoshizaki; Takaya Saito; Yuya Oaki
err分享
err收藏
Machine-learning-assisted prediction of the size of microgels prepared by aqueous precipitation polymerization
errCHEMICAL COMMUNICATIONS
IF4.2
err2024-01-01
err1
PREAI
errSuzuki, Daisuke; Minato, Haruka; Sato, Yuji; Namioka, Ryuji; Igarashi, Yasuhiko; Shibata, Risako; Oaki, Yuya
err分享
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Efficient design and synthesis of an amorphous conjugated polymer network for a metal-free electrocatalyst of hydrogen evolution reaction非晶态共轭聚合物网络的高效设计与合成，用于析氢反应的无金属电催化剂
errJOURNAL OF MATERIALS CHEMISTRY A
IF9.5
err2024-01-01
err2
PREAI
errHamada, Wakana; Hishida, Mafumi; Sugiura, Ryuto; Tobita, Haruka; Imai, Hiroaki; Igarashi, Yasuhiko; Oaki, Yuya
err分享
err收藏
Fluorine-Free Substrate-Independent Superhydrophobic Coatings by Nanoarchitectonics of Polydispersed 2D Materials通过多分散2D材料的纳米结构制备的无氟独立于基材的超疏水涂层
errBULLETIN OF THE CHEMICAL SOCIETY OF JAPAN
IF3.8
err2023-07-05
err16
PREAI
errHikichi, Ryota; Tokura, Yuki; Igarashi, Yasuhiko; Imai, Hiroaki; Oaki, Yuya
err分享
err收藏
Capacity-prediction models for organic anode-active materials of lithium-ion batteries: advances in predictors using small data
errENERGY ADVANCES
IF4.3
err2023-01-01
err2
errOAAI
errTobita, Haruka; Namiuchi, Yuki; Komura, Takumi; Imai, Hiroaki; Obinata, Koki; Okada, Masato; Igarashi, Yasuhiko; Oaki, Yuya
err分享
err收藏
Quantum circuit learning as a potential algorithm to predict experimental chemical properties
errDIGITAL DISCOVERY
IF5.6
err2023-01-01
err2
errOAAI
errHatakeyama-Sato, Kan; Igarashi, Yasuhiko; Kashikawa, Takahiro; Kimura, Koichi; Oyaizu, Kenichi
err分享
err收藏
Using GPT-4 in parameter selection of polymer informatics: improving predictive accuracy amidst data scarcity and 'Ugly Duckling' dilemma
errDIGITAL DISCOVERY
IF5.6
err2023-01-01
err8
errOAAI
errHatakeyama-Sato, Kan; Watanabe, Seigo; Yamane, Naoki; Igarashi, Yasuhiko; Oyaizu, Kenichi
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Data integration for multiple alkali metals in predicting coordination energies based on Bayesian inference
errSCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS-METHODS
IF2.8
err2022-09-26
err3
errOAAI
errObinata, Koki; Nakayama, Tomofumi; Ishikawa, Atsushi; Sodeyama, Keitaro; Nagata, Kenji; Igarashi, Yasuhiko; Okada, Masato
err分享
err收藏
Numerical experiments on tsunami flow depth prediction for clustered areas using regression and machine learning models
errEARTH PLANETS AND SPACE
IF2.5
err2022-08-17
err8
errOAAI
errKamiya, Masato; Igarashi, Yasuhiko; Okada, Masato; Baba, Toshitaka
err分享
err收藏

研究方向

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合作学者
合作期刊
H
Hiroaki Imai
H 指数: 63 · 论文数: 578
Y
Yuichi Onda
H 指数: 58 · 论文数: 681
Y
Yoshitaka Tateyama
H 指数: 55 · 论文数: 280
K
Kenichi Oyaizu
H 指数: 52 · 论文数: 411
Y
Yuya Oaki
H 指数: 44 · 论文数: 412
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