Rchr
J-GLOBAL ID:202001009621608227
Update date: Nov. 21, 2024
Kumagai Masaya
クマガイ マサヤ | Kumagai Masaya
Affiliation and department:
Job title:
研究員
Other affiliations (2):
Homepage URL (1):
https://kumagallium.github.io/
Research field (1):
Inorganic materials
Research keywords (5):
Machine learning
, Research data
, Database
, Materials Informatics
, Thermoelectric materials
Research theme for competitive and other funds (3):
- 2022 - 2025 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
- 2020 - 2022 実験プロセスや試料構造の影響を考慮して物性値を予測する次世代MIの開発
- 2015 - 2017 新規Al系熱電材料の創製および熱電特性の評価
Papers (24):
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Yifan Sun, Yuji Miyawaki, Masaya Kumagai, Shun Fujieda, Hiroaki Muta, Ken Kurosaki, Yuji Ohishi. Thermophysical characterization of UFe3B2 and USiNi: An experimental study. Journal of Nuclear Materials. 2024. 595. 155048-155048
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Yifan Suna, Masaya Kumagai, Mingyu Jin, Eriko Sato, Masako Aoki, Yuji Ohishi, Ken Kurosaki. A multiclass classification model for predicting the thermal conductivity of uranium compounds. Journal of Nuclear Science and Technology. 2024. 61. 6. 778-788
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Suguru Iwasaki, Mihiro Hoshino, Haruhiko Morito, Masaya Kumagai, Yukari Katsura, Junji Nishii, Masaya Fujioka. Effect of intergranular connectivity of NaAlB14 on Na+ extraction. Solid State Sciences. 2023. 144. 107308-107308
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Hirofumi Tsuruta, Yukari Katsura, Masaya Kumagai. DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials. 2023
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Sora at Tanusilp, Masaya Kumagai, Yuji Ohishi, Manabu Ishimaru, Naoki Sadayori, Ken Kurosaki. Planar defects-induced low thermal conductivity in a superhard material SiB6. Journal of Alloys and Compounds. 2023. 939
more...
MISC (7):
-
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. 多結晶NaAlB14におけるPt成膜を利用したNa除去. 日本金属学会講演大会(Web). 2022. 171st
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熊谷将也. 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. 日本熱電学会誌. 2020. 16. 3. 162-164
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熊谷 将也. 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. 日本熱電学会誌. 2019. 16. 2. 93-95
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Graph Based Machine Learning and Visualization for Intrusion Detection System. 2019. 118. 480. 357-363
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熊谷 将也, 松本 亮介. 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. 第81回全国大会講演論文集. 2019. 2019. 1. 31-32
more...
Works (2):
-
E4M : Elements for Materials
2020 - 現在
-
Starrydata
Masaya Kumagai 2018 - 現在
Education (4):
- 2014 - 2017 Osaka University Graduate School of Engineering Division of Sustainable Energy and Environmental Engineering
- 2012 - 2014 Osaka University Graduate School of Engineering Division of Sustainable Energy and Environmental Engineering
- 2010 - 2012 National Institute of Technology (KOSEN), Maizuru College Advanced Faculty Electric and Control System Engineering Course
- 2005 - 2010 National Institute of Technology (KOSEN), Maizuru College Department of Control Engineering
Professional career (3):
- 博士(工学) (大阪大学)
- 修士(工学) (大阪大学)
- 学士 (独立行政法人大学改革支援・学位授与機構)
Work history (4):
- 2020/04 - 現在 Kyoto University Graduate School of Energy Science Department of Socio Environmental Energy Science
- 2017/06 - 現在 RIKEN Center for Advanced Intelligence Project
- 2017/04 - 現在 SAKURA internet Inc. Research Center
- 2015/04 - 2017/03 日本学術振興会 特別研究員DC2
Awards (2):
- 2019/09 - The Thermoelectrics Society of Japan Poster Award
- 2019/06 - The International Thermoelectric Society (ITS) Poster Award Thermoelectric Material Design by Materials Informatics using Enormous Experimental Data on Starrydata
Association Membership(s) (5):
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
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