五十嵐 康彦(イガラシ ヤスヒコ)
- 論文
- Materials Informatics for 2D Materials Combined with Sparse Modeling and Chemical Perspective: Toward Small-Data-Driven Chemistry and Materials Science
Oaki Yuya; Igarashi Yasuhiko
BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN/94(10)/pp.2410-2422, 2021-10 - Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks
Asanuma Haruka; Takagi Shiro; Nagano Yoshihiro; Yoshid...
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN/90(10), 2021-10 - Size-Distribution Control of Exfoliated Nanosheets Assisted by Machine Learning: Small-Data-Driven Materials Science Using Sparse Modeling
Haraguchi Yuri; Igarashi Yasuhiko; Imai Hiroaki; Oaki ...
ADVANCED THEORY AND SIMULATIONS/4(10), 2021-10 - Likelihood Identification of High-Beta Disruption in JT-60U
Yokoyama Tatsuya; Yamada Hiroshi; Isayama Akihiko; Hiw...
PLASMA AND FUSION RESEARCH/16, 2021-05 - Yield-prediction models for efficient exfoliation of soft layered materials into nanosheets
Noda Kyohei; Igarashi Yasuhiko; Imai Hiroaki; Oaki Yuya
CHEMICAL COMMUNICATIONS/57(48)/pp.5921-5924, 2021-05 - Lateral-size control of exfoliated transition-metal-oxide 2D materials by machine learning on small data
Mizuguchi Ryosuke; Igarashi Yasuhiko; Imai Hiroaki; Oa...
Nanoscale/13(6)/pp.3853-3859, 2021-02 - Self-similar stochastic slip distributions on a non-planar fault for tsunami scenarios for megathrust earthquakes
Nakano Masaru; Murphy Shane; Agata Ryoichiro; Igarashi...
Progress in Earth and Planetary Science/７(1)/pp.1-13, 2020-12 - 筑波大学における全学必修 のデータサイエンス教育
和田耕一; 佐久間淳; 平田 祥人; 福地一斗; 青砥隆仁; 五十嵐康彦; 今倉暁; Vasilache Simona Mi...
オペレーションズ・リサーチ/65(9)/pp.573-578, 2020-11 - Application of Sparse Modeling to Extended X-ray Absorption Fine Structure Spectra of Transition Metals
Setoyama Hiroyuki; Akai Ichiro; Iwamitsu Kazunori; Miy...
Journal of the Physical Society of Japan/89(7)/pp.074602-1-074602-4, 2020-07 - Efficient Syntheses of 2D Materials from Soft Layered Composites Guided by Yield Prediction Model: Potential of Experiment-Oriented Materials Informatics
Noda Kyohei; Igarashi Yasuhiko; Imai Hiroaki; Oaki Yuya
ADVANCED THEORY AND SIMULATIONS/3(7), 2020-07 - スパース・モデリングを用いた広域X線吸収微細構造の解析
赤井 一郎; 岩満 一功; 五十嵐 康彦; 岡田 真人; 瀬戸山 寛之; 岡島 敏浩
日本結晶学会誌/62(1)/pp.2-9, 2020-02 - Normal mode analysis of a relaxation process with Bayesian inference
Sakata Itsushi; Nagano Yoshihiro; Igarashi Yasuhiko; Mura...
Science and Technology of Advanced Materials/21(1)/pp.67-78, 2020-02 - Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents
Ishikawa Atsushi; Sodeyama Keitaro; Igarashi Yasuhiko; ...
Physical Chemistry Chemical Physics/21(48)/pp.26399-26405, 2019-11 - Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents
Ishikawa Atsushi; Sodeyama Keitaro; Igarashi Yasuhiko; Na...
Physical Chemistry Chemical Physics/21(48)/pp.26399-26405, 2019-11 - Experiment-Oriented Materials Informatics for Efficient Exploration of Design Strategy and New Compounds for High-Performance Organic Anode
Numazawa Hiromichi; Igarashi Yasuhiko; Sato Kosuke; Imai ...
Advanced Theory and Simulations/2(10)/pp.1900130-1-1900130-10, 2019-10 - Material search for Li-ion battery electrolytes through an exhaustive search with a Gaussian process
Nakayama Tomofumi; Igarashi Yasuhiko; Sodeyama Keitaro; O...
Chemical Physics Letters/731/pp.136622-1-136622-7, 2019-09 - A nonlinear parametric model based on a power law relationship for predicting the coastal tsunami height
Yoshikawa Masashi; Igarashi Yasuhiko; Shin Murata; Baba T...
Marine Geophysical Research/40/pp.467-477, 2019-06 - A longitudinal study of infant view-invariant face processing during the first 3–8 months of life
Ichikawa Hiroko; Nakato Emi; Igarashi Yasuhiko; Okada ...
Neuroimage/186/pp.817-825, 2019-02 - Materials‐Informatics‐Assisted High‐Yield Synthesis of 2D Nanomaterials through Exfoliation
Nakada Gentoku; Igarashi Yasuhiko; Imai Hiroaki; Oaki ...
ADVANCED Theory and Simulations/2(4)/p.1800180, 2019-01 - Spectral deconvolution through Bayesian LARS-OLS
Mototake Yoh-ichi; Igarashi Yasuhiko; Takenaka Hikaru; ...
Journal of the Physical Society of Japan/87(11)/p.114004, 2018-11 - Robust One-dimensional Phase Unwrapping using a Markov Random Field Model
Nakashima Yasuhisa; Igarashi Yasuhiko; Naruse Yasushi; ...
Journal of The Physical Society of Japan/87(8)/p.084801, 2018-08 - Sparse Modeling of an Extended X-Ray Absorption Fine-Structure Spectrum Based on a Single-Scattering Formalism
Akai Ichiro; Iwamitsu Kazunori; Igarashi Yasuhiko; Oka...
Journal of The Physical Society of Japan/87(7)/p.074003, 2018-07 - Liquid electrolyte informatics using an exhaustive search with linear regression
Sodeyama Keitaro; Igarashi Yasuhiko; Nakayama Tomofumi...
Physical Chemistry Chemical Physics/20(35)/pp.22585-22591, 2018-06 - ES-DoS: Exhaustive search and density-of-states estimation as a general framework for sparse variable selection
Igarashi Yasuhiko; Ichikawa Hiroko; Nakanishi-Ohno Yos...
Journal of Physics: Conference Series/1036/p.012001, 2018-06 - Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search
YOKOYAMA Tatsuya; SUEYOSHI Takamitsu; MIYOSHI Yuya; HI...
Plasma and Fusion Research/13/p.3405021, 2018-04 - さらに表示...
- Materials Informatics for 2D Materials Combined with Sparse Modeling and Chemical Perspective: Toward Small-Data-Driven Chemistry and Materials Science