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Academic Achievements
Publications:
- Y. Zhao, W. Burby, A. Christlieb, H. Lei, Data-driven construction of a generalized kinetic collision operator from molecular dynamics, arxiv (2025)
- Z. Xu, Y. Zhao, Q. Zhou, Variance-reduced random batch Langevin dynamics, J. Chem. Phys., 161(2024), 244110
- J. Liang, Z. Xu and Y. Zhao, Energy stable scheme for random batch molecular dynamics, J. Chem. Phys., 160(2024), 034101
- J. Liang, Z. Xu and Y. Zhao, Improved random batch Ewald method in molecular dynamics simulations, J. Phys. Chem. A, 126(2022), 3583-3593
- J. Liang, P. Tan, Y. Zhao, L. Li, S. Jin, L. Hong and Z. Xu, Superscalability of the random batch Ewald method, J. Chem. Phys., 156(2022), 014114
- J. Liang, Z. Xu and Y. Zhao, Random-batch list algorithm for short-range molecular dynamics simulations, J. Chem. Phys., 155(2021), 044108
- S. Jin, L. Li, Z. Xu and Y. Zhao, A random batch Ewald method for particle systems with Coulomb interactions, SIAM J. Sci. Comput., 43(2021), B937-B960
- L. Li, Z. Xu, and Y. Zhao, A random-batch Monte Carlo method for many-body systems with singular kernels, SIAM J. Sci. Comput., 42(2020), A1486-A1509
- 06/10-13/2021, Mathematics in Action (MiA2021): Modeling and Analysis in Molecular Biology and Electrophysiology (Poster), Duke Kunshan University
- 03/2020, The Forum on Mathematics and Industrial Innovations, Shanghai Science Hall
- 11/24/2019, Annual Meeting of Shanghai Society for Industrial and Applied Mathematics, Fudan University
- 11/11/2019, The 15th Shanghai Symposium on Scientific and Engineering Computing Methods, Shanghai Maritime University
Talks:
- 03/2025, 'Data-driven construction of a generalized kinetic collision operator from molecular dynamics', AIDMM-NRT workshop, MSU
- 01/2024, 'Random-batch Ewald method', 2024 Joint Mathematics Meetings, San Francisco, CA, USA
- 10/09/2021, 'Random-batch Ewald method', The 5th CSIAM Student Forum (CSIAM 2021 Annual Meeting), Hefei, China
- 09/09/2021, 'Random-batch Ewald method', Zhiyuan honored Ph.D. Students Academic Forum (Second Prize), Shanghai Jiao Tong University
Awards and Honors:
- 2021, Wenjun Wu Scholarship, Shanghai Jiao Tong University
- 2021, Weichai Power Scholarship, Shanghai Jiao Tong University
- 2021, Second Prize of Zhiyuan honored Ph.D. Students Academic Forum, Shanghai Jiao Tong University
- 03/2017, Second Prize of the 8th National College Student Mathematics Competition (Final), China
- 2015-2019, Excellent Students Scholarship in University, Shanghai Jiao Tong University
Background
Research interests include multiscale modeling, structure-preserving machine learning models, fast algorithms in Monte Carlo method and molecular dynamics, numerical methods for partial differential equations, hydrodynamics and interfacial problems, data assimilation and Bayesian inverse problems.