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R

Ryo Yoshida

research organization of information and systems

27H指数
138论文数
2.9K被引数
收录论文 33
发表时间
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Physics-informed active learning for the design of thermally conductive composite microstructures with controlled anisotropy物理信息主动学习用于设计具有可控各向异性的导热复合微结构
errComposites Science and Technology
IF9.8
err2026-04-22
err0
errOAAI
errMassimiliano Zamengo; Stephen Wu; Ryo Yoshida; Junko Morikawa
err分享
err收藏
Cross-Hierarchical Transduction of Dynamic Behaviors from Self-Oscillating Microgels to Colloidosomes跨层级动态行为从自振荡微凝胶到胶体囊的转导
errLangmuir
IF3.9
err2026-02-11
err0
PREAI
errZhouna Tang; Takafumi Enomoto; Takeshi Ueki; Ryota Tamate; Aya Mizutani Akimoto; Ryo Yoshida
err分享
err收藏
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning使用机器学习发现具有高热导率的液晶聚合物
errnpj Computational Materials
IF11.9
err2025-07-02
err0
errOAAI
errHayato Maeda; Stephen Wu; Rika Marui; Erina Yoshida; Kan Hatakeyama-Sato; Yuta Nabae; Shiori Nakagawa; Meguya Ryu; Ryohei Ishige; Yoh Noguchi; Yoshihiro Hayashi; Masashi Ishii; Isao Kuwajima; Felix Jiang; Xuan Thang Vu; Sven Ingebrandt; Masatoshi Tokita; Junko Morikawa; Ryo Yoshida; Teruaki Hayakawa
err分享
err收藏
Dynamics of tobermorite dehydration process from atomistic simulations: The role of bridging silicate and hydroxyltobermorite脱水过程的动力学：桥连硅酸盐和羟基的作用
errCONSTRUCTION AND BUILDING MATERIALS
IF8
err2025-04-01
err0
PREAI
errTakinami, Shota; Yoshida, Ryo; Kobayashi, Ryo; Nawa, Toyoharu; Kishi, Toshiharu
err分享
err收藏
Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training通过学习式训练和跨情景训练提升材料属性的外推预测能力
errCOMMUNICATIONS MATERIALS
IF9.6
err2025-02-22
err0
errOAAI
errNoda, Kohei; Wakiuchi, Araki; Hayashi, Yoshihiro; Yoshida, Ryo
err分享
err收藏
Shotgun crystal structure prediction using machine-learned formation energies
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2024-12-20
err0
errOAAI
errChang, Liu; Tamaki, Hiromasa; Yokoyama, Tomoyasu; Wakasugi, Kensuke; Yotsuhashi, Satoshi; Kusaba, Minoru; Oganov, Artem R.; Yoshida, Ryo
err分享
err收藏
Ensemble dynamics and information flow deduction from whole-brain imaging data
errplos biology
IF3.6
err2024-03-15
err0
errOAAI
errToyoshima, Yu; Sato, Hirofumi; Nagata, Daiki; Kanamori, Manami; Jang, Moon Sun; Kuze, Koyo; Oe, Suzu; Teramoto, Takayuki; Iwasaki, Yuishi; Yoshida, Ryo; Ishihara, Takeshi; Iino, Yuichi
err分享
err收藏
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns深度学习可以从多相粉末衍射图案中快速识别新的准晶体
errADVANCED SCIENCE
IF14.1
err2023-11-14
err4
errOAAI
errUryu, Hirotaka; Yamada, Tsunetomo; Kitahara, Koichi; Singh, Alok; Iwasaki, Yutaka; Kimura, Kaoru; Hiroki, Kanta; Miyao, Naoki; Ishikawa, Asuka; Tamura, Ryuji; Ohhashi, Satoshi; Liu, Chang; Yoshida, Ryo
err分享
err收藏
Representation of materials by kernel mean embedding
errPHYSICAL REVIEW B
IF3.7
err2023-10-16
err2
errOAAI
errKusaba, Minoru; Hayashi, Yoshihiro; Liu, Chang; Wakiuchi, Araki; Yoshida, Ryo
err分享
err收藏
Quasicrystals predicted and discovered by machine learning
errPHYSICAL REVIEW MATERIALS
IF3.4
err2023-09-25
err7
errOAAI
errLiu, Chang; Kitahara, Koichi; Ishikawa, Asuka; Hiroto, Takanobu; Singh, Alok; Fujita, Erina; Katsura, Yukari; Inada, Yuki; Tamura, Ryuji; Kimura, Kaoru; Yoshida, Ryo
err分享
err收藏
SMiPoly: Generation of a Synthesizable Polymer Virtual Library Using Rule-Based Polymerization Reactions
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2023-08-21
err13
errOAAI
errOhno, Mitsuru; Hayashi, Yoshihiro; Zhang, Qi; Kaneko, Yu; Yoshida, Ryo
err分享
err收藏
Multitask Machine Learning to Predict Polymer-Solvent Miscibility Using Flory-Huggins Interaction Parameters使用flory-huggins相互作用参数预测聚合物-溶剂混溶性的多任务机器学习
errMACROMOLECULES
IF5.2
err2023-07-10
err21
errOAAI
errAoki, Yuta; Wu, Stephen; Tsurimoto, Teruki; Hayashi, Yoshihiro; Minami, Shunya; Tadamichi, Okubo; Shiratori, Kazuya; Yoshida, Ryo
err分享
err收藏
RadonPy: automated physical property calculation using all-atom classical molecular dynamics simulations for polymer informaticsRadonPy: 使用全原子经典分子动力学模拟进行聚合物信息学的自动物理性质计算
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2022-11-08
err36
errOAAI
errHayashi, Yoshihiro; Shiomi, Junichiro; Morikawa, Junko; Yoshida, Ryo
err分享
err收藏
Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations
errMATERIALS TODAY PHYSICS
IF9.7
err2022-11-01
err32
errOAAI
errMa, Ruimin; Zhang, Hanfeng; Xu, Jiaxin; Sun, Luning; Hayashi, Yoshihiro; Yoshida, Ryo; Shiomi, Junichiro; Wang, Jian-xun; Luo, Tengfei
err分享
err收藏
Functional Output Regression for Machine Learning in Materials Science
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2022-10-10
err4
errOAAI
errIwayama, Megumi; Wu, Stephen; Liu, Chang; Yoshida, Ryo
err分享
err收藏
Crystal structure prediction with machine learning-based element substitution基于机器学习元素替换的晶体结构预测
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2022-08-01
err37
errOAAI
errKusaba, Minoru; Liu, Chang; Yoshida, Ryo
err分享
err收藏
Machine Learning to Predict Quasicrystals from Chemical Compositions
errADVANCED MATERIALS
IF26.8
err2021-07-19
err37
errOAAI
errLiu, Chang; Fujita, Erina; Katsura, Yukari; Inada, Yuki; Ishikawa, Asuka; Tamura, Ryuji; Kimura, Kaoru; Yoshida, Ryo
err分享
err收藏
Recreation of the periodic table with an unsupervised machine learning algorithm
errSCIENTIFIC REPORTS
IF3.9
err2021-02-26
err5
errOAAI
errKusaba, Minoru; Liu, Chang; Koyama, Yukinori; Terakura, Kiyoyuki; Yoshida, Ryo
err分享
err收藏
Bayesian Algorithm for Retrosynthesis
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2020-09-25
err23
errOAAI
errGuo, Zhongliang; Wu, Stephen; Ohno, Mitsuru; Yoshida, Ryo
err分享
err收藏
Improving Low -contrast Detectability and Noise Texture Pattern for Computed Tomography Using Iterative Reconstruction Accelerated with Machine Learning Method: A Phantom Study
errACADEMIC RADIOLOGY
IF3.9
err2020-07-01
err6
PREAI
errFunama, Yoshinori; Takahashi, Hisashi; Goto, Taiga; Aoki, Yuko; Yoshida, Ryo; Kumagai, Yukio; Awai, Kazuo
err分享
err收藏

研究方向

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合作学者
合作期刊
S
Satoru Miyano
H 指数: 113 · 论文数: 1.6K
D
David G. Beer
H 指数: 107 · 论文数: 613
A
Artem R. Oganov
H 指数: 85 · 论文数: 605
C
Christoph Schick
H 指数: 85 · 论文数: 679
T
Takashi Kohno
H 指数: 84 · 论文数: 827
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