東北大学 · 材料科学高等研究所 · 助教

研究关键词マテリアルインフォマティクス・電極触媒・エネルギー材料設計・二酸化炭素還元反応・水電解・データ駆動型材料設計

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• A materials map integrating experimental and computational data via graph-based machine learning for enhanced materials discoveryY. Hashimoto, X. Jia, H. Li, T. Tomai
• Digital materials ecosystem: from databases to AI agents for autonomous discoveryDi Zhang, Xue Jia, Yuhang Wang, Heng Liu, Qian Wang, Seong-Hoon Jang, Daksh Shah, Songbo Ye, Hung Ba Tran, Hao Li
• Application of an Explainable Machine Learning to CO 2 Methanation for Optimal Design Nickel-Based CatalystsJiayi Zhang, Xue Jia, Hao Li, Fukui Xiao, Qiang Wang, Ning Zhao
• Data-Driven Viewpoint for Developing Next-Generation Mg-Ion Solid-State ElectrolytesFang-Ling Yang, Ryuhei Sato, Eric Jian-Feng Cheng, Kazuaki Kisu, Qian Wang, Xue Jia, Shin-ichi Orimo, Hao Li

• Discover High-Performance Metal Carbide/Nitride Electrocatalysts Based on Catalysis Theory and Machine Learning2025 · 提供機関： Ensemble Grants for Early Career Researchers 2025 in Tohoku University
• マテリアルインフォマティクスによる廉価な遷移金属を利用した 酸性環境下での電極触媒の探索2022 · 2022年12月 ～ 2024年12月
• Screening of transition metal oxide electrocatalysts in alkaline media based on data mining and theoretical analysisXue Jia
• Design of Cost-Effective Complex Metal Oxide Structures for CO2 Reduction Reaction提供機関： AIMR Fusion Research

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