Computational Physics Group
Computational Mechanics and Physics, Computational Science and Engineering
Multi-time, Multi-scale, Multi-physics Modeling of Complex Systems
Statistical Micromechanics, Statistical Materials Learning Techniques
Experimental and Numerical Microtomography Based Modeling of Materials
Numerical Methods and Nonlinear Mechanics
High Performance Parallel Computing
Dr. K. Matous has been appointed the College of Engineering Collegiate Associate Professor of Computational Mechanics. Also, Dr. K. Matous has been awarded tenure.
Dr. K. Matous will take responsibilities as a Co-Director of the Center for Shock-Wave Processing of Advanced Reactive Materials (C-SWARM).
Recent Scientific Discoveries
For the first time, we compute third-order bounds and approximations of the effective thermal conductivity for tomographically characterized three-dimensional packs of polydisperse ellipsoids and cuboids. We accurately evaluate the three-point microstructural parameter that arises in third-order bounds and approximations of effective material properties. We show that for highly packed systems our methods result in a 45% accuracy improvement compared to the latest techniques, and third-order approximations agree well with simulation data. Please see our recent paper in Physics Letters A.
Hierarchically Parallel Finite Strain Multiscale Solver
We present a three-dimensional, hierarchically parallel, finite strains multiscale solver capable of computing nonlinear multiscale solutions with over 1 Billion finite elements and over 574 Million nonlinear equations on only 1,552 computing cores. Please see our recent paper in IJNME.