基本信息
陈楚楚  女  硕导  中国科学院数学与系统科学研究院
电子邮件: chenchuchu@lsec.cc.ac.cn
通信地址: 北京市海淀区中关村东路55号
邮政编码:

招生信息

   
招生专业
070102-计算数学
070104-应用数学
招生方向
随机计算
随机反问题

教育背景

2010-09--2015-07   中国科学院数学与系统科学研究院   博士学位
2006-09--2010-07   河海大学   学士学位

工作经历

   
工作简历
2020-03~现在, 中国科学院数学与系统科学研究院, 副研究员
2017-09~2020-03,中国科学院数学与系统科学研究院, 助理研究员
2016-06~2017-08,密歇根州立大学, 博士后
2015-08~2016-06,普渡大学, 博士后

专利与奖励

   
奖励信息
(1) 中国科学院数学与系统科学研究院“年度科研进展奖”, 研究所(学校), 2019

出版信息


发表论文
[1] Ye Zhang, Chuchu Chen. Stochastic linear regularization methods: random discrepancy principle and applications. Inverse Problems[J]. 2024, [2] Chuchu Chen, Tonghe Dang, Jialin Hong. An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics. Stochastic Process. Appl.[J]. 2024, [3] Chen, Chuchu, Hong, Jialin, Lu, Yulan. Stochastic differential equation with piecewise continuous arguments: Markov property, invariant measure and numerical approximation. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B[J]. 2023, http://dx.doi.org/10.3934/dcdsb.2022098.
[4] Chen, Chuchu, Hong, Jialin, Jin, Diancong, Sun, Liying. Large deviations principles for symplectic discretizations of stochastic linear Schrödinger equation. POTENTIAL ANALYSIS[J]. 2023, http://dx.doi.org/10.1007/s11118-022-09990-z.
[5] Chen, Chuchu, Dang, Tonghe, Hong, Jialin, Zhou, Tau. CLT for approximating ergodic limit of SPDEs via a full discretization. STOCHASTIC PROCESSES AND THEIR APPLICATIONS[J]. 2023, 157: 1-41, http://dx.doi.org/10.1016/j.spa.2022.11.015.
[6] Zhang, Ye, Chen, Chuchu. Stochastic asymptotical regularization for linear inverse problems. INVERSE PROBLEMS[J]. 2023, 39(1): [7] Chen, Chuchu, Cui, Jianbo, Hong, Jialin, Sheng, Derui. Accelerated exponential Euler scheme for stochastic heat equation: convergence rate of the density. IMA JOURNAL OF NUMERICAL ANALYSIS[J]. 2023, http://dx.doi.org/10.1093/imanum/drac011.
[8] Chuchu Chen, Jialin Hong, Derui Sheng. Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems. JOURNAL OF COMPLEXITY[J]. 2022, 70: [9] Chen, Chuchu, Dang, Tonghe, Hong, Jialin. Weak intermittency of stochastic heat equation under discretizations. JOURNAL OF DIFFERENTIAL EQUATIONS[J]. 2022, 333: 268-301, [10] Chen Chuchu. Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun, The probabilistic superiority of stochastic symplectic methods via large deviations principles. SIAM J. Numer. Anal.. 2021, [11] Chen, Chuchu. A symplectic discontinuous Galerkin full discretization for stochastic Maxwell equations. SIAM J. NUMER. ANAL.[J]. 2021, https://epubs.siam.org/doi/10.1137/20M1368537.
[12] Chen, Chuchu, Hong, Jialing, Jin, Diancong, Sun, Liying. ASYMPTOTICALLY-PRESERVING LARGE DEVIATIONS PRINCIPLES BY STOCHASTIC SYMPLECTIC METHODS FOR A LINEAR STOCHASTIC OSCILLATOR. SIAM JOURNAL ON NUMERICAL ANALYSIS[J]. 2021, 59(1): 32-59, http://dx.doi.org/10.1137/19M1306919.
[13] Chen, Chuchu, Hong, Jialin, Sim, Chol, Sonwu, Kwang. Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations. JOURNAL OF COMPUTATIONAL PHYSICS[J]. 2020, 418: http://dx.doi.org/10.1016/j.jcp.2020.109599.
[14] Chen, Chuchu, Hong, Jialin, Jin, Diancong. Modified averaged vector field methods preserving multiple invariants for conservative stochastic differential equations. BIT NUMERICAL MATHEMATICS[J]. 2020, 60(4): 917-957, [15] Chen, Chuchu, Cohen, David, DAmbrosio, Raffaele, Lang, Annika. Drift-preserving numerical integrators for stochastic Hamiltonian systems. ADVANCES IN COMPUTATIONAL MATHEMATICS[J]. 2020, 46(2): [16] Chen, Chuchu, Liu, Di. ERGODIC APPROXIMATION TO CHEMICAL REACTION SYSTEM WITH DELAY. SIAM JOURNAL ON NUMERICAL ANALYSIS[J]. 2019, 57(1): 70-95, [17] Chen, Chuchu, Hong, Jialin, Ji, Lihai. RUNGE-KUTTA SEMIDISCRETIZATIONS FOR STOCHASTIC MAXWELL EQUATIONS WITH ADDITIVE NOISE. SIAM JOURNAL ON NUMERICAL ANALYSIS[J]. 2019, 57(2): 702-727, [18] Zhang, Liying, Chen, Chuchu, Hong, Jialin, Ji, Lihai. A Review on Stochastic Multi-symplectic Methods for Stochastic Maxwell Equations. COMMUNICATIONS ON APPLIED MATHEMATICS AND COMPUTATION[J]. 2019, 1(3): 467-501, [19] Chen, Chuchu, Hong, Jialin, Ji, Lihai. MEAN-SQUARE CONVERGENCE OF A SEMIDISCRETE SCHEME FOR STOCHASTIC MAXWELL EQUATIONS. SIAM JOURNAL ON NUMERICAL ANALYSIS[J]. 2019, 57(2): 728-750, [20] Li, Ming, Chen, Chuchu, Li, Peijun. Inverse random source scattering for the Helmholtz equation in inhomogeneous media. INVERSE PROBLEMS[J]. 2018, 34(1): [21] Chen, Chuchu, Hong, Jialin, Ji, Lihai. Mean-square convergence of a symplectic local discontinuous Galerkin method applied to stochastic linear Schrodinger equation. IMA JOURNAL OF NUMERICAL ANALYSIS[J]. 2017, 37(2): 1041-1065, [22] Bao, Gang, Chen, Chuchu, Li, Peijun. INVERSE RANDOM SOURCE SCATTERING FOR ELASTIC WAVES. SIAM JOURNAL ON NUMERICAL ANALYSIS[J]. 2017, 55(6): 2616-2643, [23] Chen, Chuchu, Hong, Jialin, Ji, Lihai, Kong, Linghua. A Compact Scheme for Coupled Stochastic Nonlinear Schrodinger Equations. COMMUNICATIONS IN COMPUTATIONAL PHYSICS[J]. 2017, 21(1): 93-125, [24] Chen, Chuchu, Liu, Di. ERROR ANALYSIS FOR D-LEAPING SCHEME OF CHEMICAL REACTION SYSTEM WITH DELAY. MULTISCALE MODELING & SIMULATION[J]. 2017, 15(4): 1797-1829, [25] Chen, Chuchu, Hong, Jialin, Wang, Xu. Approximation of Invariant Measure for Damped Stochastic Nonlinear Schrodinger Equation via an Ergodic Numerical Scheme. POTENTIAL ANALYSIS[J]. 2017, 46(2): 323-367, [26] Chen Chuchu. Gang Bao, Chuchu Chen, Peijun Li, Inverse random source scattering problems in several dimensions. SIAM/ASA J. Uncertainty Quantification. 2016, [27] Chen, Chuchu, Cohen, David, Hong, Jialin. CONSERVATIVE METHODS FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH A CONSERVED QUANTITY. INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING[J]. 2016, 13(3): 435-456, [28] Chen, Chuchu, Hong, Jialin, Zhang, Liying. Preservation of physical properties of stochastic Maxwell equations with additive noise via stochastic multi-symplectic methods. JOURNAL OF COMPUTATIONAL PHYSICS[J]. 2016, 306: 500-519, http://dx.doi.org/10.1016/j.jcp.2015.11.052.
[29] Chen Chuchu, Hong, Jialin, Prohl, Andreas. Convergence of a theta-scheme to solve the stochastic nonlinear Schrödinger equation with Stratonovich noise. Stoch. Partial Differ. Equ. Anal. Comput.[J]. 2016, [30] Chen, Chuchu, Hong, Jialin. SYMPLECTIC RUNGE-KUTTA SEMIDISCRETIZATION FOR STOCHASTIC SCHRODINGER EQUATION. SIAM JOURNAL ON NUMERICAL ANALYSIS[J]. 2016, 54(4): 2569-2593, [31] Bao, Gang, Chen, Chuchu, Li, Peijun. Inverse Random Source Scattering Problems in Several Dimensions. SIAMASAJOURNALONUNCERTAINTYQUANTIFICATION[J]. 2016, 4(1): 1263-1287, [32] Chen, Chuchu, Hong, Jialin. MEAN-SQUARE CONVERGENCE OF NUMERICAL APPROXIMATIONS FOR A CLASS OF BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B[J]. 2013, 18(8): 2051-2067, 
发表著作
(1) Numerical approximations of stochastic Maxwell equations—via structure-preserving algorithms, Springer, 2024-01, 第 1 作者

科研活动

   
科研项目
( 1 ) 随机偏微分方程数值方法, 主持, 国家级, 2021-01--2023-12
( 2 ) 两类随机哈密尔顿偏微分方程的保结构算法研究, 主持, 国家级, 2019-01--2022-12
( 3 ) 随机哈密尔顿偏微分方程的保结构算法研究, 参与, 国家级, 2021-01--2025-12
( 4 ) 随机辛几何算法的构造与分析, 参与, 国家级, 2020-01--2023-12