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Chaoyu Quan received his bachelor's degree from the University of Science and Technology of China in 2013. He obtained a MS degree in Applied Mathematics from Université Paris Dauphine (Paris 9) in 2014 and a PhD degree in Mathematics from Laboratoire Jacques–Louis Lions at the Université Pierre et Marie Curie (Paris 6) in 2017. From 2017 to 2018, he served as a Postdoctoral Researcher at the Institut des Sciences du Calcul et des Données, Sorbonne Université. Prior to joining CUHK(SZ), he held the position of Research Assistant Professor at the SUSTech International Center for Mathematics at the Southern University of Science and Technology.
Chaoyu Quan's research interests lie in highly accurate methods for phase-field equations, numerical methods for time-fractional problems, and the application of mathematical methods in quantum chemistry. He has published over 30 papers in academic journals such as SINUM, SIAM J. Sci. Comput., Math. Comput., J. Comput. Phys., M3AS, J. Differ. Equ., etc.
2022
Huawei Sparking Prize
2019
Shenzhen municipal-level talent program
[32] Z. Jiang, C. Quan, X. Zhao, A Class of High-Order Unconditional Maximum Principle-Preserving Extended IFRK Schemes for the Allen-Cahn Equation, SIAM Journal of Scientific Computing (to appear).
[31] C. Quan, T. Tang, D. Wang, Unconditional energy dissipation of Strang splitting for the matrix-valued Allen-Cahn equation, Journal of Differential Equations, 113825, 2026.
[30] M. Gao, C. Quan, Z. Zhang, Convergence analysis of a novel Strang directional splitting method for the Allen–Cahn equations, Journal of Computational and Applied Mathematics, 116868, 2026. (link)
[29] C. Quan, X. Wang, P. Zheng, Z. Zhou, Maximum bound principle and original energy dissipation of arbitrarily high-order rescaled exponential time differencing Runge-Kutta schemes for Allen--Cahn equations, IMA Journal of Numerical Analysis (to appear). (link)
[28] X. Liu, Y. Maday, C. Quan, H. Zhang, Convergence analysis of a solver for the linear Poisson--Boltzmann model, SIAM Journal on Numerical Analysis, 65 (3), 2025. (link)
[27] Y. Liu, C. Quan, D. Wang, Maximum bound principle preserving and energy decreasing exponential time differencing schemes for the matrix-valued Allen-Cahn equation, IMA Journal of Numerical Analysis, 2025. (link)
[26] C. Quan, T. Tang, and J. Yang, Numerical energy dissipation for time-fractional phase-field equations, Journal of Computational Mathematics, 43 (3), pp. 515-539, 2025. (link)
[25] C. Quan, S. Wang, X. Wu, Roundoff error problems in interpolation methods for time-fractional problems, Applied Numerical Mathematics, 203, 202-224, 2024. (link)
[24] C. Quan, X. Wu, and J. Yang, Long time H1-stability of fast L2-1σ method on general nonuniform meshes for subdiffusion equations, Journal of Computational and Applied Mathematics, 440, 115647, 2024. (link)
[23] C. Quan, X. Wu, H1-norm stability and convergence of an L2-type method on nonuniform meshes for subdiffusion equation, SIAM Journal on Numerical Analysis, 61(5), 2106-2132, 2023. (link)
[22] C. Quan, T. Tang, B. Wang, and J. Yang, A decreasing upper bound of energy for time-fractional phase-field equations, Communications in Computational Physics, 33, pp. 962-991, 2023. (link)
[21] C. Quan, X. Wu, Global-in-time stability of L2-1σ method on general nonuniform meshes for subdiffusion equation, Journal of Scientific Computing, 2023. (link)
[20] A. Jha, M. Nottoli, A. Mikhalev, C. Quan, B. Stamm, Computation of forces arising from the linear Poisson--Boltzmann method in the domain-decomposition paradigm, Journal of Chemical Physics, 2023. (link)
[19] C. Quan, B. Wang, Energy stable L2 schemes for time-fractional phase-field equations, Journal of Computational Physics, 458, 111085, 2022. (link)
[18] D. Li, C. Quan, T. Tang, and W. Yang, Sharp convergence to steady states of Allen-Cahn, Communications in Mathematical Analysis and Applications, 1, pp. 355-394, 2022. (link)
[17] D. Li, C. Quan, J. Xu, Stability and convergence of Strang splitting. Part I: Scalar Allen-Cahn equation, Journal of Computational Physics, 458, 111087, 2022. (link)
[16] D. Li, C. Quan, J. Xu, Stability and convergence of Strang splitting. Part II: Tensorial Allen-Cahn equations, Journal of Computational Physics, 454(4): 110985, 2022. (link)
[15] D. Li, C. Quan, T. Tang, and W. Yang, On symmetry breaking of Allen-Cahn, CSIAM Transactions on Applied Mathematics, 2022. (link)
[14] D. Li, C. Quan, The operator-splitting method for Cahn-Hilliard is stable, Journal of Scientific Computing, 90(62), 2022. (link)
[13] D. Li, C. Quan, and T. Tang, Stability and convergence analysis for the implicit-explicit method to the Cahn-Hilliard equation, Mathematics of Computation 91(334): 785–809, 2022. (link)
[12] D. Li, C. Quan, and W. Yang, The BDF3/EP3 scheme for MBE with no slope selection is stable, Journal of Scientific Computing 89(2), 2021. (link)
[11] X. Cheng, D. Li, C. Quan, and W. Yang, On a parabolic sine-Gordon model, Numerical Mathematics: Theory, Methods and Applications, Vol. 14, No. 4, pp. 1068-1084, 2021. (link)
[10] R. Boto, F. Peccati, R. Laplaza, C. Quan, A. Carbone, J.-P. Piquemal, Y. Maday, and J. Contreras-García, NCIPLOT and the analysis of noncovalent interactions using the reduced density gradient, WIREs Computational Molecular Science, E1497, 2021. (link)
[9] C. Quan, T. Tang, and J. Yang, How to define dissipation-preserving energy for time-fractional phase-field equations, CSIAM Transactions on Applied Mathematics, 1(3), 478-490, 2020. (link)
[8] H. Gong, Y. Yu, Q. Li, C. Quan, An inverse-distance-based fitting term for 3D-Var data assimilation in nuclear core simulation, Annals of Nuclear Energy 141, 107346, 2020. (link)
[7] R. Boto, F. Peccati, R. Laplaza, C. Quan, A. Carbone, J.-P. Piquemal, Y. Maday, and J. Contreras-García, NCIPLOT4: Fast, robust and quantitative analysis of noncovalent interactions, Journal of Chemical Theory and Computation, 16(7), 4150–4158, 2020. (link)
[6] X. Duan, C. Quan, B. Stamm, A boundary-partition-based diagram of d-dimensional balls: Definition, properties and applications, Advances in Computational Mathematics 46(44), 2020. (link)
[5] C. Quan, B. Stamm, Y. Maday, A domain decomposition method for the Poisson-Boltzmann solvation models, SIAM Journal on Scientific Computing 41(2), B320-B350, 2019. (link)
[4] E.B. Lindgren, C. Quan, B. Stamm, Theoretical analysis of screened many-body electrostatic interactions between charged polarizable particles, Journal of Chemical Physics 150, 044901, 2019. (link)
[3] C. Quan, B. Stamm, Y. Maday, A domain decomposition method for the polarizable continuum model based on the solvent excluded surface, Mathematical Models and Methods in Applied Sciences 28(07), 1233-1266, 2018. (link)
[2] C. Quan, B. Stamm, Meshing molecular surfaces based on analytical implicit representation, Journal of Molecular Graphics and Modelling 71, 200-210, 2017. (link)
[1] C. Quan, B. Stamm, Mathematical analysis and calculation of molecular surfaces, Journal of Computational Physics 322, 760-782, 2016. (link)