Michael Pernice

  Idaho National Laboratory
P.O. Box 1625, MS 3550
Idaho Falls, ID 83415-3550
Phone: (208)526-9480
Fax: (208)526-8254
Email: Michael.Pernice@inl.gov                                                                                                                                         

 

 Background

Michael Pernice is a computational mathematician in the Center for Advanced Modeling and Simulation at Idaho National Laboratory.  He has extensive experience in numerical methods, computational science, and high performance computing, with emphases on efficient methods for solving large-scale systems of linear and nonlinear equations and adaptive mesh refinement. His current research interests include multiphysics preconditioning and controlling error in adaptive calculations using a posteriori estimation.  He was appointed assistant director of CAMS in 2009. 

Michael has been with CAMS since joining INL in November 2006.  Prior to that, he worked at Los Alamos National Laboratory, the Center for High Performance Computing at the University of Utah, and the National Center for Atmospheric Research in Boulder, CO.  He obtained his Ph.D. from the University of Colorado in 1986, his M.S. from Colorado State University in 1977, and his B.S. from Rensselear Polytechnic Institute in 1975, all in mathematics.

Selected Publications

H. Wang, M. Pernice, S. Tavener and D. Estep, “A posteriori error analysis for a cut cell finite volume method”, Computer Methods in Applied Mechanics and Engineering, submitted.

D. Estep, M. Pernice, D. Pham, S. Tavener, and H. Wang, “Error analysis of a cell-centered finite volume method for semilinear elliptic problems”, Journal of Computational and Applied Mathematics, 203, 2009.

B. Philip, L. Chacon, and M. Pernice, "Implicit adaptive mesh refinement for 2D reduced resistive magnetohydrodynamics", Journal of Computational Physics., 227, 2008.

K. Evans, D. Knoll and M. Pernice, "Development of a 2-D algorithm to simulate convection and phase transitions efficiently", Journal of Computational Physics, 219, 2006.

M. Pernice and B. Philip, "Solution of equilibrium radiation diffusion problems using implicit adaptive mesh refinement", SIAM Journal of Scientific Computing, 27, 2006.

M. Pernice and R. D. Hornung, "Newton-Krylov-FAC Methods for problems discretized on locally refined grids", Computing and Vizualization in Science, 8, 2005.