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五十嵐 康彦

Igarashi, Yasuhiko

システム情報系 , 准教授
Institute of Systems and Information Engineering , Associate Professor

https://www.cs.tsukuba.ac.jp/~igayasu1219/

ゴム材料の電子顕微鏡画像を明瞭化する新たな画像処理手法を開発

2024-11-20

五十嵐 康彦
データ駆動科学による自然科学データの潜在情報抽出|五十嵐康彦| 筑波大学研究者カタログ

2021-04-16

五十嵐 康彦
オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. A Seafloor Pressure Sensor Effectiveness Evaluation in a Tsunami Height Estimation Model Using Gaussian Process Regression with Automatic Relevance Determination Yutaro Iwabuchi; Toshitaka Baba; Takane Hori; Masato OkadaYasuhiko Igarashi
      Journal of Disaster Research (2025)
  2. 2. Automated identification of the origin of energy loss in nonoriented electrical steel by feature extended Ginzburg–Landau free energy framework Taniwaki, Michiki; Nagaoka, Ryunosuke; Masuzawa, Ken; Sato, Shunsuke (+12 著者) Kotsugi, Masato
      Scientific Reports 15: (2025)
  3. 3. Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy IGARASHI, Yasuhiko; Nagamura, Naoka; Sekine, Masahiro; Fukidome, Hirokazu (+1 著者) Okada, Masato
      Discover Nano 20: 1 (2025)
  4. 4. Data-scientific validation of prediction models for the controlled syntheses of exfoliated nanosheets Kitamura, Yuka; Namiuchi, Yuki; Imai, Hiroaki; Igarashi, YasuhikoOaki, Yuya
      NANOSCALE ADVANCES (2025)
  5. 5. Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode Active Materials of Lithium-Ion Battery Yamamoto, Rika; IGARASHI, Yasuhiko; Imai, Hiroaki; Sakata, Taisei (+3 著者) Oaki, Yuya
      BATTERIES & SUPERCAPS (2025)
  6. 6. Characterization of Transition to Detachment of Magnetic Confinement Plasmas via Data Driven Approach in LHD Isobe, Yugo; Yamada, Hiroshi; Yokoyama, Tatsuya; Kobayashi, Masahiro (+4 著者) Sakamoto, Ryuichi
      PLASMA AND FUSION RESEARCH 20: (2025)
  7. 7. Confidence evaluation for feature selection in expanded feature space based on density of states Obinata, Koki; Igarashi, Yasuhiko; Nagata, Kenji; Sodeyama, KeitaroOkada, Masato
      APL MACHINE LEARNING 3: (2025)
  8. 8. Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion Yamane, Naoki; Hatakeyama-Sato, Kan; Iwasaki, Yuma; Igarashi, Yasuhiko
      SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS-METHODS 4: (2024) Semantic Scholar
  9. 9. Application of a Hessian-Based Image-Processing Method for Enhanced Visualization of Nanoscale Rubber Cross-Linked Network Structures from Electron Microscopy Images Suzuki, Masato; Igarashi, Yasuhiko
      ACS APPLIED NANO MATERIALS Epub: (2024) Semantic Scholar
  10. 10. 実験室の小規模データを使った機械学習による プロセス最適化と物質探索 緒明 佑哉; 五十嵐, 康彦
      Chemistry & education 72: 456 (2024)
  11. 11. Machine-learning-assisted prediction of the size of microgels prepared by aqueous precipitation polymerization Suzuki, Daisuke; Minato, Haruka; Sato, Yuji; Namioka, Ryuji (+2 著者) Oaki, Yuya
      CHEMICAL COMMUNICATIONS Epub: (2024) Semantic Scholar
  12. 12. 小規模実験データを活用したマテリアルズインフォマティクス 緒明佑哉; 五十嵐, 康彦
      Journal of the Japanese Liquid Crystal Society. Ekisho 28: 226 (2024)
  13. 13. Autonomous search for half-metallic materials with B2 structure Yuma Iwasaki; Ryo Toyama; Takahiro Yamazaki; Yasuhiko Igarashi (+1 著者) Yuya Sakuraba
      Science and Technology of Advanced Materials: Methods (2024) Semantic Scholar
  14. 14. 数理科学と機械学習による津波高即時予測と津波減災への展開 五十嵐, 康彦
      Trans. Japan SIAM 34: 202 (2024)
  15. 15. Appropriate Basis Selection Based on Bayesian Inference for Analyzing Measured Data Reflecting Photoelectron Wave Interference Yasuhiko Igarashi; Fabio Iesari; Hiroyuki Setoyama; Toshihiro Okajima (+2 著者) Masato Okada
      Journal of the Physical Society of Japan 93: (2024) Semantic Scholar
  16. 16. Automated experiment and data generation by foundation models for synthesizing polyamic acid particles Kan Hatakeyama-Sato; Hiroki Ishikawa; Shinya Takaishi; Yasuhiko Igarashi (+1 著者) Teruaki Hayakawa
      POLYMER JOURNAL Epub: (2024)
  17. 17. Efficient design and synthesis of an amorphous conjugated polymer network for a metal-free electrocatalyst of hydrogen evolution reaction Hamada, Wakana; Hishida, Mafumi; Sugiura, Ryuto; Tobita, Haruka (+2 著者) Oaki, Yuya
      JOURNAL OF MATERIALS CHEMISTRY A 12: (2024) Semantic Scholar
  18. 18. Tsunami Height Estimation by Gaussian Process Regression Using Maximum Pressure Change and Arrival Time at Seafloor Sensors off the Kii Peninsula, Japan Yutaro Iwabuchi; Toshitaka Baba; Takane Hori; Masato OkadaYasuhiko Igarashi
      (2024)
  19. 19. Prompt engineering of GPT-4 for chemical research: what can/cannot be done? Hatakeyama-Sato, Kan; Yamane, Naoki; Igarashi, Yasuhiko; Nabae, YutaHayakawa, Teruaki
      Science and Technology of Advanced Materials: Methods 3: (2023) Semantic Scholar
  20. 20. Using GPT-4 in Parameter Selection of Materials Informatics: Improving Predictive Accuracy Amidst Data Scarcity and'Ugly Duckling'Dilemma Hatakeyama-Sato, Kan; Watanabe, Seigo; Yamane, Naoki; Igarashi, YasuhikoOyaizu, Kenichi
      DIGITAL DISCOVERY 2: 1548 (2023) Semantic Scholar
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  1. 1. 第14節 小規模データに適用可能なMIと材料開発への活用法 緒明, 佑哉; 五十嵐, 康彦
    2024年10月
  2. 2. 問14：スパースモデリングを用いたMI例とは－基礎／スパースモデリングによる説明変数の抽出／全状態探索法／－ 五十嵐,康彦 (担当:分担執筆, 範囲:マテリアルズ・インフォマティクスＱ＆Ａ集－解析実務と応用事例－)
    2020年12月 (ISBN: 9784865022049)
  3. 3. 第Ⅱ編 最新研究・開発事例（MI向けAI/DB技術）第1章 スパースモデリングによる物質・材料設計のための基盤技術の構築 五十嵐,康彦 (担当:分担執筆, 範囲:材料およびプロセス開発のためのインフォマティクスの基礎と研究開発最前線)
    2020年8月 (ISBN: 9784904482841)

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