| Unsupervised machine learning for discovery of promising half-Heusler thermoelectric materials X Jia, Y Deng, X Bao, H Yao, S Li, Z Li, C Chen, X Wang, J Mao, F Cao, ... npj Computational Materials 8 (1), 34, 2022 | 39 | 2022 |
| The surface states of transition metal X-ides under electrocatalytic conditions H Liu, X Jia, A Cao, L Wei, C D’agostino, H Li The Journal of chemical physics 158 (12), 2023 | 34 | 2023 |
| Rapid accomplishment of strength/ductility synergy for additively manufactured Ti-6Al-4V facilitated by machine learning Z Yao, X Jia, J Yu, M Yang, C Huang, Z Yang, C Wang, T Yang, S Wang, ... Materials & Design 225, 111559, 2023 | 10 | 2023 |
| Martensite colony engineering: A novel solution to realize the high ductility in full martensitic 3D-printed Ti alloys Z Yao, T Yang, M Yang, X Jia, C Wang, J Yu, Z Li, H Han, W Liu, G Xie, ... Materials & Design 215, 110445, 2022 | 9 | 2022 |
| Using materials quality factor BΔΕ∗ for design of thermoelectric materials with multiple bands X Jia, S Li, Z Zhang, Y Deng, X Li, Y Cao, Y Yan, J Mao, J Yang, Q Zhang, ... Materials Today Physics 18, 100371, 2021 | 9 | 2021 |
| Advancing thermoelectric materials discovery through semi-supervised learning and high-throughput calculations X Jia, H Yao, Z Yang, J Shi, J Yu, R Shi, H Zhang, F Cao, X Lin, J Mao, ... Applied Physics Letters 123 (20), 2023 | 7 | 2023 |
| Band convergence and phonon engineering to optimize the thermoelectric performance of CaCd2Sb2 Z Zhang, H Yao, X Jia, X Wang, X Li, C Chen, X Lin, J Sui, X Liu, J Mao, ... Applied Physics Letters 120 (4), 2022 | 7 | 2022 |
| A dynamic database of solid-state electrolyte (DDSE) picturing all-solid-state batteries F Yang, EC dos Santos, X Jia, R Sato, K Kisu, Y Hashimoto, S Orimo, H Li Nano Materials Science 6 (2), 256-262, 2024 | 4 | 2024 |
| Identifying Stable Electrocatalysts Initialized by Data Mining: Sb2WO6 for Oxygen Reduction X Jia, Z Yu, F Liu, H Liu, D Zhang, E Campos dos Santos, H Zheng, ... Advanced Science 11 (5), 2305630, 2024 | 4 | 2024 |
| Explore the Ionic Conductivity Trends on B12H12 Divalent Closo-Type Complex Hydride Electrolytes E Campos dos Santos, R Sato, K Kisu, K Sau, X Jia, F Yang, S Orimo, H Li Chemistry of Materials 35 (15), 5996-6004, 2023 | 3 | 2023 |
| Dealing with the big data challenges in AI for thermoelectric materials X Jia, A Aziz, Y Hashimoto, H Li Science China Materials 67 (4), 1173-1182, 2024 | 2 | 2024 |
| Data mining of stable, low-cost metal oxides as potential electrocatalysts X Jia, H Li Artificial Intelligence Chemistry 2 (1), 100065, 2024 | | 2024 |
| Origin of the Activity of Electrochemical Ozone Production over Rutile PbO2 Surfaces JT Jiang, Z Guo, SK Deng, X Jia, H Liu, J Xu, H Li, LH Cheng ChemSusChem, e202400827, 2024 | | 2024 |
| Artificial Intelligence Chemistry X Jia, H Li Artificial Intelligence 2, 100065, 2024 | | 2024 |
| Data-Driven Viewpoints for Developing Next-Generation Mg-Ion Solid-State Electrolytes F Yang, R Sato, EJ Cheng, K Kisu, Q Wang, X Jia, S Orimo, H Li | | 2024 |
| Machine learning enabled exploration of multicomponent metal oxides for catalyzing oxygen reduction in alkaline media X Jia, H Li Journal of Materials Chemistry A, 2024 | | 2024 |
