Talk Abstract:

Advanced numerical algorithms should be amenable to the scalability in the increasingly powerful supercomputer architectures, the adaptivity in the intricately multiscale engineering problems, the efficiency in the extremely large-scale wave simulations, and the stability in the dynamically multiphase coupling interfaces. 

In this talk, I will present a multi-scale and multi-physics 3D simulator to tackle these grand scientific challenges. This simulatoris based on a unified high-order discontinuous Galerkin (DG) method, with adaptive nonconformal meshes, for efficient wave propagation modeling. This algorithm is compatible with a diverse portfolio of real-world energy/biomedical applications, ranging from longstanding tough problems: such as arbitrary anisotropic elastic/electromagnetic materials, viscoelastic materials, poroelastic materials, piezoelectric materials, and fluid-solid coupling, to recent challenging topics: such as fracture-wave interactions. 

Meanwhile, this talk will also present some important theoretical improvements. Especially, I will show innovative Riemann solvers, inspired by physical meanings, in a unified mathematical framework, which are the key to guaranteeing the stability and accuracy of the DG methods and domain decomposition methods.

Bio:

Qiwei Zhan is a Ph.D. candidate at Duke University, advised by Professor Qing Huo Liu in the Department of Electrical and Computer Engineering. He received the B.S. in geophysics from University of Science and Technology of China, and the M.S. in civil and environmental engineering from Duke.  

His research interest involves the development of adaptive multiscale & multiphysics modeling solvers, for 3-D large-scale transient acoustic/electromagnetic wave propagation problems. He has more than 30 top journal papers, 1 US patent, 1 book chapter, and 5 invited talks in international conferences. He is a recipient of 2017-2019 John Chambers Scholar Award at Duke University.