University of Notre Dame College of Engineering
C-SWARM | Center for Shock Wave-processing of Advanced Reactive Materials

C-SWARM

Center for Shock Wave-processing of Advanced Reactive Materials

Matthew MosbyMatthew Mosby

Graduate Student
University of Notre Dame

Computational Physics Team

Field(s) of Interest

High performance computing, multi-scale modeling, computational homogenization, material failure, computational inelasticity

Description of Your Work/Project in C-SWARM

I am working in the Computational Physics (CP) group at the University of Notre Dame that is focused on predicting shock conditions for synthesis of new materials. I have developed the highly scalable, parallel, finite element solver that is used to compute the micro-scale response of the heterogeneous microstructure under the shock conditions provided by the macro-scale simulation. Currently, I am working other CP group members to develop and implement more accurate physical models for describing our materials of interest. Under the PSAAP II project, I am also working to investigate new programing paradigms using ParalleX that will allow us to perform scientific inquiry using future exascale-computing environments.

Honors/Awards

Kaneb Center Outstanding Graduate Student Teaching Award, 2011 and 2013

Travel fellowship for the 12th Workshop on the DOE ACTS Collection, 2011

Dept./Major:

Mechanical Engineering

Field of Study:

Computational Mechanics

Degree Being Pursued:

Ph.D.

Academic Advisor:

Professor Karel Matouš

Degree(s) Held:

Master of Science,
Mechanical Engineering,
University of Notre Dame,
2013

Bachelor of Science,
Mechanical Engineering,
Kettering University,
2009

Selected Publications

  1. Mosby, M. and Matouš, K. (2015), Hierarchically parallel coupled finite strain multiscale solver for modeling heterogeneous layers. Int. J. Numer. Meth. Engng, 102: 748–765. doi: 10.1002/nme.4755.

     

  2. Mosby, M. and Matouš, K. (submitted), On mechanics and material length scales of failure in heterogeneous interfaces using a finite strain high performance solver.