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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. Confidence evaluation for feature selection in expanded feature space based on density of states Koki Obinata; Yasuhiko Igarashi; Kenji Nagata; Keitaro SodeyamaMasato Okada
      APL Machine Learning (2025)
  2. 2. Application of a Hessian-Based Image-Processing Method for Enhanced Visualization of Nanoscale Rubber Cross-Linked Network Structures from Electron Microscopy Images Masato Suzuki; Yasuhiko Igarashi
      ACS Applied Nano Materials (2025) Semantic Scholar
  3. 3. Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion Naoki Yamane; Kan Hatakeyama-Sato; Yuma Iwasaki; Yasuhiko Igarashi
      Science and Technology of Advanced Materials: Methods (2024) Semantic Scholar
  4. 4. 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
  5. 5. 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
  6. 6. 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
  7. 7. 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)
  8. 8. 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
  9. 9. 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)
  10. 10. 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
  11. 11. 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
  12. 12. Visualization of the Magnetostriction Mechanism in Fe-Ga Alloy Single Crystal Using Dimensionality Reduction Techniques Alexandre Lira Foggiatto; Yuta, Mizutori; Takahiro Yamazaki; Shunsuke Sato (+9 著者) Masato, Kotsugi
      IEEE TRANSACTIONS ON MAGNETICS 59: (2023) Semantic Scholar
  13. 13. Analysis of Magnetization Reversal Process of Non-Oriented Electromagnetic Steel Sheet by Extended Landau Free Energy Model Taniwaki, Michiki; Alexandre, Foggiatto Lira; Mitsumata, Chiharu; Yamazaki, Takahiro (+7 著者) Kotsugi, Masato
      IEEE (2023) Semantic Scholar
  14. 14. Fluorine-Free Substrate-Independent Superhydrophobic Coatings by Nanoarchitectonics of Polydispersed 2D Materials Hikichi, Ryota; Tokura, Yuki; Igarashi, Yasuhiko; Imai, HiroakiOaki, Yuya
      BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN 96: 766 (2023) Semantic Scholar
  15. 15. Capacity-prediction models for organic anode-active materials of lithium-ion batteries: advances in predictors using small data Haruka Tobita; Yuki Namiuchi; Takumi Komura; Hiroaki Imai (+3 著者) Yuya Oaki
      Energy Advances 2: 1014 (2023) Semantic Scholar
  16. 16. Development of prediction model for cloud point of thermo-responsive polymers by experiment-oriented materials informatics Igarashi, Yasuhiko
      Journal of Polymer Science : Part A : Polymer Chemistry Volume 14: 2383 (2023) Semantic Scholar
  17. 17. Quantum circuit learning as a potential algorithm to predict experimental chemical properties Hatakeyama-Sato, Kan; Igarashi, Yasuhiko; Kashikawa, Takahiro; Kimura, KoichiOyaizu, Kenichi
      DIGITAL DISCOVERY 2: 165 (2023) Semantic Scholar
  18. 18. Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization Yuma Iwasaki; Hwang Jaekyun; Yuya Sakuraba; Masato KotsugiYasuhiko Igarashi
      Science and Technology of Advanced Materials: Methods 2: 365 (2022) Semantic Scholar
  19. 19. Data integration for multiple alkali metals in predicting coordination energies based on Bayesian inference Koki Obinata; Tomofumi Nakayama; Atsushi Ishikawa; Keitaro Sodeyama (+2 著者) Masato Okada
      Science and Technology of Advanced Materials: Methods Volume 2. 2022: 355 (2022) Semantic Scholar
  20. 20. Numerical experiments on tsunami flow depth prediction for clustered areas using regression and machine learning models Kamiya, Masato; Igarashi, Yasuhiko; Okada, Masato; Baba, Toshitaka
      EARTH PLANETS AND SPACE 74: (2022) Semantic Scholar
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  1. 1. 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)
  2. 2. 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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