We create a game-changing computational capability to reconstruct multiscale transport phenomena in gases and solids and enable a priori knowledge for emerging multiscale technologies. We bridge gaps among physics, applied mathematics, scientific computing and practical engineering-design simulation.
We put forward a general synthetic iterative scheme (GSIS) for solving kinetic equations and simulating multiscale gas/phonon transport reliably. The scheme has the merits of fast convergence and asymptotic preserving, consequently reducing computational resource consumption by several orders of magnitude.
We develop optimal solution strategies for the high-order discontinuous Galerkin methods adopted in the GSIS to make the simulation tool robust and economical for practical engineering-design simulations.
We utilise the developed methods and models to enable a priori solutions for the rarefied gas dynamics and non-Fourier solid heat conduction in emerging multiscale technologies such as lab-on-chip devices, carbon neutrality, next-generation vaccines, micro air vehicles, and high-altitude flights.
We develop sophisticated numerical methods to understand the nonequilibrium thermo-chemical relaxation that dictates the flow dynamics around re-entry capsules, allowing optimal designs of aerodynamic shape and heat shield.
September 1, 2023 Welcome new group members >>
June 22, 2022 Wei will join HKUST >>
June 22, 2022 Search for Students >>