
冯泰熙,男,讲师,工学博士,办公地点:第三学科楼A315,联系方式:fengtx@sit.edu.cn。
主要研究方向:润滑材料开发、人工智能辅助材料设计、材料多尺度模拟
科研项目:上海应用技术大学科研启动项目,已在Chemical Engineering Science、Journal of Chemical Theory and Computation、Solar Energy Materials and Solar Cells等国际著名期刊上发表论文17篇,以第一作者身份发表论文9篇。
代表性论文和专著:
[1] Elucidating the local structure and properties of molten Na2CO3-K2CO3 salts using machine learning-driven molecular dynamics, Chemical Engineering Science, 2024, 288: 119836
[2] Unveiling ionic redox potentials: Advancing prediction through large-scale MLMD and FEP integration, Chemical Engineering Science, 2024, 299: 120421
[3] Machine learning model to efficiently predict the structure and properties of MgCl2-NaCl-KCl melts, Solar Energy Materials and Solar Cells, 2024,272: 112903
[4] Molecular dynamics simulations of lanthanum chloride by deep learning potential, Computational Materials Science, 2022, 210:111014
[5] Deep learning potential assisted prediction of local structure and thermophysical properties of the SrCl2-KCl-MgCl2 melt. Journal of Chemical Theory and Computation. 2024, 20(17), 7611-7623
获奖与荣誉:2025年获得博士研究生国家奖学金。