人工智能与数据科学
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王若宇
博士后
2018年于中国科学院大学取得工学学士学位,分别于2020年和2023年在新加坡国立大学和中国科学院宁波材料所取得工学硕士和工学博士学位。2023年9月加入中国科学技术大学苏州高等研究院,合作导师为钟志诚教授。主要研究兴趣为机器学习方法在原子模拟领域的应用开发。
电子邮箱:ruoyuwang@ustc.ac.cn
联系地址:中国科学技术大学苏州高等研究院唯真楼412
代表论文:
[1] R. Wang, M. Guo, Y. Gao, X. Wang, Y. Zhang, B. Deng, X. Chen, M. Shi, L. Zhang, and Z. Zhong, A Pre-Trained Deep Potential Model for Sulfide Solid Electrolytes with Broad Coverage and High Accuracy, arXiv:2406.18263.
[2] R. Wang, J. Cai, Q. Zhang, X. Tan, J. Wu, G. Liu, and J. Jiang, Mismatched Atomic Bonds and Ultralow Thermal Conductivity in Ag-Based Ternary Chalcopyrites, Phys. Rev. B 107, 115202 (2023).
[3] R. Wang, Z. Guo, Q. Zhang, J. Cai, G. Liu, X. Tan, and J. Jiang, Origin of the Unique Thermoelectric Transport in Mg 3 (Sb,Bi) 2 : Absence of d-Orbital Bonding in Crystal Cohesion, J. Mater. Chem. A 10, 11131 (2022).
[4] R. Wang, J. Cai, Q. Zhang, X. Tan, J. Wu, G. Liu, and J. Jiang, Strong Electron–Phonon Coupling and High Lattice Thermal Conductivity in Half-Heusler Thermoelectric Materials, Phys. Chem. Chem. Phys. 26, 8932 (2024).
[5] Q. Zhang, R. Wang, K. Song, X. Tan, H. Hu, Z. Guo, G. Wu, P. Sun, G.-Q. Liu, and J. Jiang, Raised Solubility in SnTe by GeMnTe2 Alloying Enables Converged Valence Bands, Low Thermal Conductivity, and High Thermoelectric Performance, Nano Energy 94, 106940 (2022).