- Ludwig Arnold Lab for Stochastic Dynamical Systems
- John Hopcroft Lab for Data Science
- Stephen Wiggins Lab for Dynamical Systems
- Stochastic Partial Differential Equations
- Computational & Applied Mathematics
- Algebra Geometry and Topology
- Analysis & Probability & Partial Differential Equations
- Discrete Mathematics
- Lab for Mathematical Phisics
- Stochastic Analysis
- Jurgen Kurths Lab for Mathematical Geosciences
- 区块链与隐私计算实验室

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Stochastic Partial Differential Equations

Stochastic Partial Differential Equations

The research interests in this group include: Effective dynamics of stochastic partial differential equations (homogenization, averaging, slow manifolds); regularity structures, dynamical behaviors of stochastic partial differential equations (bifurcation, asymptotic dynamics, numerical approximations to extract dynamical features, random Cauchy data, random boundary conditions), and stochastic Hamiltonian partial differential equations. Key members include Xu Sun, Guangying Lv, Wei Yan, Wei Wang, Jinqiao Duan, Anthony J. Roberts, Meihua Yang |