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
The Computational Physics Group at the University of Notre Dame has been awarded a research project entitled "Modeling Mechanical Performance of Nanoparticle-‐Reinforced Resins", from Corporate Research Materials Laboratory at 3M: Amount $130,000.
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 centuries, great minds like Kepler, Maxwell and Einstein have investigated the statistical characterization of many-body systems, and implications of small-scale structures on the macroscopic transport and mechanical properties. In this work, an accurate statistical description of heterogeneous particulate materials is computed using novel adaptive interpolation/integration scheme. This statistical information is then utilized within mathematical theories for predicting the overall thermo-mechanical behavior. For the first time, we predict properties of granular Platonic solids packs and discover a significant shape effect in their thermal-conductivity. Based on this work, a large class of materials with arbitrary inclusions can now be easily studied.
Our recent paper is featured as the cover article in Proceedings of the Royal Society A.