Basic Information

Affiliated programs (koza)

• Graduate School of Energy Science, エネルギー社会・環境科学専攻 エネルギー社会論講座エネルギー社会教育

Professional Memberships

• Materials Research Society (MRS)
• 日本金属学会
• 応用物理学会
• Information Processing Society of Japan
• The Thermoelectrics Society of Japan

Academic Degree

• 修士（工学）(大阪大学)
• 博士（工学）(大阪大学)

Research History

• From Apr. 2020, To Present

  Kyoto University, Graduate School of Energy Science Department of Socio Environmental Energy Science, 特定助教
• From Jun. 2017, To Present

  RIKEN, Center for Advanced Intelligence Project, 客員研究員
• From Apr. 2017, To Present

  SAKURA internet Inc., Research Center, 研究員
• From Apr. 2015, To Mar. 2017

  日本学術振興会 特別研究員DC2

Profile

• Profile

  　2005~2010年国立舞鶴工業高等専門学校（舞鶴高専）にて, プログラムや回路を学び, 頭でイメージできた電子工作は, 大抵作れる技術力を身に着ける. 2006年10月NHK高専ロボコン近畿大会に出場し, 特別賞受賞. 2009年, 回路部品に使用される無機材料に興味があり材料工学の研究をはじめ, 同年8月に国内学会口頭発表を経験. 2010~2012年, 舞鶴高専専攻科に進学し, 材料工学および情報工学の両分野での研究, 学会発表を経験. 2010年11月（大学学部３年相当）, 査読あり国際学会での発表を経験.

  
  

  　2012~2017年大阪大学大学院 工学研究科において, 無機材料工学を専門として博士課程まで進み, 2017年3月に博士号（工学）を取得. 研究活動とは別に, 自分の不足しているWeb開発技術を向上するため, 趣味のWebサイトや学内ベンチャー企業のWebシステムを開発. Web開発をきっかけに, 材料工学と組み合わせたマテリアルズ・インフォマティクス研究を紹介され, 博士論文の研究とは別に進める.

  
  

  　2017年4月, 自身のインフラの技術が不足していることを感じ, さくらインターネット株式会社に入社. 同年6月, さくらインターネット研究所に配属されると同時に, 同社パラレルキャリア制度を利用し, 理化学研究所 革新知能統合研究センターの客員研究員として, マテリアルズ・インフォマティクス研究に従事. 機械学習を共通の要素技術として, 材料工学および情報工学の知識を双方に生かした学際的研究に主眼を置く. マテリアルズ・インフォマティクス研究が評価され, 2019年7月国際会議International Conference on Thermoelectrics (ICT2019)でポスター賞を受賞, 同年9月日本熱電学会学術講演会で優秀ポスター賞を受賞.

  
  

  　2020年4月~2024年3月, クロスアポイントメント制度を利用して京都大学の特定助教として従事（さくらインターネット株式会社60%, 京都大学40%）.2024年4月〜 京都大学の非常勤研究員に着任.

Language of Instruction

• Japanese

ID,URL

• J-Global ID

  202001009621608227

• Researcher number

  00881054

• External link

  https://kumagallium.github.io/

researchmap URL

• https://researchmap.jp/mkumagai

Research

Research Interests

• Machine learning
• Research data
• Database
• Materials Informatics
• Thermoelectric materials

Research Areas

• Nanotechnology/Materials, Inorganic materials, Thermoelectric materials, Materials Informatics

Papers

• DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials

  Hirofumi Tsuruta; Yukari Katsura; Masaya Kumagai

  Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, 07 Sep. 2023

  
• Thermophysical characterization of UFe3B2 and USiNi: An experimental study

  Yifan Sun; Yuji Miyawaki; Masaya Kumagai; Shun Fujieda; Hiroaki Muta; Ken Kurosaki; Yuji Ohishi

  Journal of Nuclear Materials, Jul. 2024

  
• A multiclass classification model for predicting the thermal conductivity of uranium compounds

  Yifan Suna; Masaya Kumagai; Mingyu Jin; Eriko Sato; Masako Aoki; Yuji Ohishi; Ken Kurosaki

  Journal of Nuclear Science and Technology, 2024

  Access this paper :

  
• Best thermoelectric efficiency of ever-explored materials

  Byungki Ryu; Jaywan Chung; Masaya Kumagai; Tomoya Mato; Yuki Ando; Sakiko Gunji; Atsumi Tanaka; Dewi Yana; Masayuki Fujimoto; Yoji Imai; Yukari Katsura; SuDong Park

  iScience, Apr. 2023, Peer-reviewed

  
• Effect of intergranular connectivity of NaAlB14 on Na+ extraction

  Suguru Iwasaki; Mihiro Hoshino; Haruhiko Morito; Masaya Kumagai; Yukari Katsura; Junji Nishii; Masaya Fujioka

  Solid State Sciences, Oct. 2023

  
• Effects of data bias on machine-learning–based material discovery using experimental property data

  Masaya Kumagai; Yuki Ando; Atsumi Tanaka; Koji Tsuda; Yukari Katsura; Ken Kurosaki

  Science and Technology of Advanced Materials: Methods, 15 Aug. 2022

  Access this paper :

  
• Planar defects-induced low thermal conductivity in a superhard material SiB6

  Sora at Tanusilp; Masaya Kumagai; Yuji Ohishi; Manabu Ishimaru; Naoki Sadayori; Ken Kurosaki

  Journal of Alloys and Compounds, Apr. 2023

  
• Ultralow Thermal Conductivity of Highly Dense ZrW2O8 Ceramics with Negative Thermal Expansion

  Sora at Tanusilp; Masaya Kumagai; Yuji Ohishi; Hideki Furusawa; Motoomi Suwabe; Ken Kurosaki

  Advanced Engineering Materials, 2022

  
• High-Pressure Diffusion Control: Na Extraction from NaAlB₁₄

  Masaya Fujioka; Mihiro Hoshino; Suguru Iwasaki; Haruhiko Morito; Masaya Kumagai; Yukari Katsura; Khurelbaatar Zagarzusem; Madoka Ono; Junji Nishii

  Chemistry of Materials, 21 Mar. 2023

  
• Electric Transport Properties of NaAlB₁₄ with Covalent Frameworks

  Suguru Iwasaki; Mihiro Hoshino; Haruhiko Morito; Masaya Kumagai; Yukari Katsura; Melbert Jeem; Madoka Ono; Junji Nishii; Masaya Fujioka

  Inorganic Chemistry, 01 Mar. 2022

  
• Atomic descriptors generated from coordination polyhedra in crystal structures

  Yuki Inada; Yukari Katsura; Masaya Kumagai; Kaoru Kimura

  Science and Technology of Advanced Materials: Methods, 01 Oct. 2021

  
• Controlled thermal expansion and thermoelectric properties of Mg2Si/Si composites

  Jiahui Fu; Sora At Tanusilp; Masaya Kumagai; Yuji Ohishi; Ken Kurosaki

  Journal of Applied Physics, 21 Jul. 2021

  
• Large Anharmonicity and Low Lattice Thermal Conductivity of Thermoelectric Sn(SbTe2)2

  Sora at Tanusilp; Masaya Kumagai; Yuji Ohishi; Naoki Sadayori; Ken Kurosaki

  Physica Status Solidi - Rapid Research Letters, 2021

  
• Enhancement of Thermoelectric Properties of n-Type Bi2Te3- xSexby Energy Filtering Effect

  Yuhei Kawajiri; Sora At Tanusilp; Masaya Kumagai; Manabu Ishimaru; Yuji Ohishi; Junya Tanaka; Ken Kurosaki

  ACS Applied Energy Materials, 2021

  
• Data-driven analysis of electron relaxation times in PbTe-type thermoelectric materials

  Yukari Katsura; Masaya Kumagai; Takushi Kodani; Mitsunori Kaneshige; Yuki Ando; Sakiko Gunji; Yoji Imai; Hideyasu Ouchi; Kazuki Tobita; Kaoru Kimura; Koji Tsuda

  Science and Technology of Advanced Materials, 31 Dec. 2019, Peer-reviewed

  
• High wettability of liquid caesium iodine with solid uranium dioxide

  Ken Kurosaki; Masanori Suzuki; Masayoshi Uno; Hiroto Ishii; Masaya Kumagai; Keito Anada; Yukihiro Murakami; Yuji Ohishi; Hiroaki Muta; Toshihiro Tanaka; Shinsuke Yamanaka

  Scientific Reports, 01 Dec. 2017, Peer-reviewed

  
• Development of "Starry data" web system for data curation of published experimental thermoelectric properties

  Yukari Katsura; Masaya Kumagai; Sakiko Gunji; Yoji Imai; Kaoru Kimura

  Funtai Oyobi Fummatsu Yakin/Journal of the Japan Society of Powder and Powder Metallurgy, Aug. 2017, Peer-reviewed

  
• Electronic Structure and Thermoelectric Properties of Pseudogap Intermetallic Compound Al₅Co₂

  Kumagai Masaya; Kurosaki Ken; Ohishi Yuji; Muta Hiroaki; Yamanaka Shinsuke

  Journal of the Japan Institute of Metals and Materials, 2017, Peer-reviewed

  
• Reduction of lattice thermal conductivity of pseudogap intermetallic compound Al3V

  Masaya Kumagai; Ken Kurosaki; Yuji Ohishi; Hiroaki Muta; Shinsuke Yamanaka

  Physica Status Solidi (B) Basic Research, 01 Mar. 2016, Peer-reviewed

  
• Mechanical and Thermal Properties of Fe₂B

  NAKAMORI Fumihiro; OHISHI Yuji; KUMAGAI Masaya; MUTA Hiroaki; KUROSAKI Ken; FUKUMOTO Ken-ichi; YAMANAKA Shinsuke

  Transactions of the Atomic Energy Society of Japan, 2016, Peer-reviewed

  
• Synthesis and Characterization of Melt-Spun Metastable Al6Ge5

  Masaya Kumagai; Ken Kurosaki; Noriyuki Uchida; Yuji Ohishi; Hiroaki Muta; Shinsuke Yamanaka

  Journal of Electronic Materials, 2015, Peer-reviewed

  
• Microstructure and Thermal Conductivity of RuAl₂ Prepared by a Single-Roll Melt-Spinning Method

  Kurosaki Ken; Umeda Akira; Kumagai Masaya; Ohishi Yuji; Muta Hiroaki; Yamanaka Shinsuke

  Journal of the Japan Institute of Metals and Materials, 2015, Peer-reviewed

  
• Effect of ball-milling conditions on thermoelectric properties of Polycrystalline CuGaTe2

  Masaya Kumagai; Ken Kurosaki; Yuji Ohishi; Hiroaki Muta; Shinsuke Yamanaka

  Materials Transactions, 2014, Peer-reviewed

  
• Diamond nanopit arrays fabricated by room-temperature nanoimprinting using diamond molds

  Shuji Kiyohara; Masaya Kumagai; Yoshio Taguchi; Yoshinari Sugiyama; Yukiko Omata; Yuichi Kurashima; Hirofumi Takikawa

  Materials Research Society Symposium Proceedings, 2011, Peer-reviewed

  

Misc.

• 多結晶NaAlB₁₄におけるPt成膜を利用したNa除去

  星野海大; 岩崎秀; 森戸春彦; 熊谷将也; 桂ゆかり; MELBERT Jeem; 小野円佳; 西井準治; 藤岡正弥

  日本金属学会講演大会(Web), 2022

  
• 実験値Materials Informaticsの実現に向けたWebシステム開発・機械学習応用とその経緯

  熊谷将也

  日本熱電学会誌, Apr. 2020, Lead author

  
• 実験データ収集 Web システム Starrydata の開発と 機械学習を利用した熱電材料の探索・設計

  熊谷 将也

  日本熱電学会誌, Dec. 2019, Lead author

  
• Graph Based Machine Learning and Visualization for Intrusion Detection System

  熊谷 将也; 松本 亮介

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 07 Mar. 2019, Lead author

  
• 疎構造学習およびグラフ畳み込みニューラルネットワークによる異常検知

  熊谷 将也; 松本 亮介

  第81回全国大会講演論文集, 28 Feb. 2019, Lead author

  
• H-052 Effect of Dictionary of Multiple Similarity Method on Degraded Character Recognition

  Kumagai Masaya; Katayama Hideaki; Ikeno Shigetaka; Ikemoto Kohei; Nakata Ken'ichi

  情報科学技術フォーラム講演論文集, 07 Sep. 2011, Lead author

  
• Fabrication of Diamond Nano-dot Arrays by Room-temperature Curing Imprint Lithography using Diamond Molds.

  Kumagai Masaya; Kiyohara Shuji; Taguchi Yoshio; Sugiyama Yoshinari; Omata Yukiko; Kurashima Yuichi; Takikawa Hirofumi; Kashiwagi Tomoyuki

  Abstract of annual meeting of the Surface Science of Japan, 2010, Lead author

  

Works

• E4M : Elements for Materials

  From Jun. 2020, To Present

  
• Starrydata

  Masaya Kumagai

  From Apr. 2018, To Present

  

Awards

• 20 Jun. 2022

  日本熱電学会ゼーベック効果発見200周年記念動画コンテスト最優秀賞

External funds: Kakenhi

• Development of Next-Generation Machine Intelligence for Predicting Material Properties, Considering the Influence of Experimental Processes and Sample Structures

  Grant-in-Aid for Research Activity Start-up

  0401:Materials engineering, chemical engineering, and related fields

  Kyoto University

  Masaya Kumagai

  From 11 Sep. 2020, To 31 Mar. 2023, Project Closed

  マテリアルズ・インフォマティクス;プロセス・インフォマティクス;機械学習;材料工学;マテリアルズインフォマティクス;熱電変換材料

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K22466/
• 大規模な実験的物性データを用いた結晶構造と物性との関係性解明

  Grant-in-Aid for Early-Career Scientists

  Basic Section 26020:Inorganic materials and properties-related

  Kyoto University

  熊谷 将也

  From 01 Apr. 2022, To 31 Mar. 2025, Granted

  マテリアルズ・インフォマティクス;機械学習;材料工学;グラフ構造

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K14474/