Michael L. Minion
Michael received his Ph.D. in Applied Mathematics from the University of California, Berkeley, in 1994 under the supervision of Prof. Alexandre Chorin. After a post-doctoral position at the Courant Institute, NYU, he joined the faculty in the Department of Mathematics at the University of North Carolina - Chapel Hill, where he remained until 2012. Upon relocating to the Bay Area in 2012, Michael was jointly affilated with LBNL and the Institute for Computational and Mathematical Engineering at Stanford from 2012-2017. Since then, he has been exclusively a Career Staff Scientist at LBNL, and is currently a member of the Scalable Solvers Group.
Read my Biographical Sketch.
- Adaptive methods for fluid dynamics
- Novel temporal integration schemes for PDEs
- Time Parallel Algorithms (see my page PFASST@LBL)
- Real Time-Time Dependent Density Functional Theory
- Some recent Research Highlights
M. Zingale, M.P. Katz, J.B. Bell, M.L. Minion, A.J. Nonaka, W. Zhang, "Improved Coupling of Hydrodynamics and Nuclear Reactions via Spectral Deferred Corrections", August 14, 2019,
Francois P. Hamon, Martin Schreiber, Michael L. Minion, "Parallel-in-Time Multi-Level Integration of the Shallow-Water Equations on the Rotating Sphere", April 12, 2019,
Submitted to Journal of Computational Physics
Sebastian Götschel , Michael Minion, "An Efficient Parallel-in-Time Method for Optimization with Parabolic PDEs", SIAM Journal on Scientific Computing, January 21, 2019,