Quan Bui

Postdoctoral Research Staff Member
Center for Applied Scientific Computing
Email: bui9@llnl.gov
Phone: +19254224596

Quan Bui joined the Center for Applied Scientific Computing as a postdoctoral research staff member in July 2018. His research focuses on iterative methods for solving linear and nonlinear equations that arise in large-scale physics simulations. In particular, he works on preconditioning and algebraic multigrid methods for coupled systems of PDEs. Currently, he is also interested in using deep learning to develop faster and more robust preconditioners for geophysical applications.

Quan obtained a Ph.D. in applied mathematics and scientific computation from the University of Maryland - College Park, where he received the Dean's Graduate Fellowship and the Ann G. Wylie Dissertation Fellowship. He joined LLNL's Computation Scholar Program in the summers of 2016 and 2017. He also spent two summers in the Center for Nonlinear Studies at Los Alamos National Laboratory (LANL) as a graduate student researcher. Before that, he worked in EES-16, the Computational Earth Science Group at LANL.

At LANL, he developed a simulator for multiphase flow in porous media that is a part of Amanzi (https://github.com/amanzi/amanzi). He was one of the main contributors to dfnWorks (https://dfnworks.lanl.gov/), a highly parallelized computational suite for modeling discrete fracture networks that received the R&D100 award in 2017.

SELECTED PUBLICATIONS

  • Q. M. Bui, D. Osei-Kuffuor, N. Castelletto, J. A. White, A Scalable Multigrid Reduction Framework for Multiphase Poromechanics of Heterogeneous Media (2020), SIAM J Sci Comput., 42(2), doi.org/10.1137/19M1256117

  • J. A. White, N. Castelletto, S. Klevtsov, Q. M. Bui, D. Osei-Kuffuor, H. A. Tchelepi, A Two-Stage Preconditioner for Multiphase Poromechanics in Reservoir Simulation (2019), Comput Method Appl M. 357, 112575, doi.org/10.1016/j.cma.2019.112575.

  • Q. M. Bui, H. C. Elman, Semi-smooth Newton Methods for Nonlinear Complementarity Formulation of Compositional Two-phase Flow in Porous Media (2019), J Comput Phys. 407, 109163, doi.org/10.1016/j.jcp.2019.109163.

  • Q. M. Bui, L. Wang, D. Osei-Kuffuor, Algebraic Multigrid Preconditioners for Two-phase Flow in Porous Media with Phase Transitions (2018), Adv. Water Resour. doi:10.1016/j.advwatres.2018.01.027.

  • Q. M. Bui, H. C. Elman, J. D. Moulton, Algebraic Multigrid Preconditioners for Multiphase Flow in Porous Media (2017), SIAM J Sci Comput., 39(5): S662-S680. doi:10.1137/16M1082652.

  • N. Makedonska, S. L. Painter, Q. M. Bui, C. W. Gable, S. Karra, Transport Modeling on Discrete Fracture Networks Using the Particle Tracking Method (2015), Comput Geosci 19:1123. doi:10.1007/s10596015-9525-4.