compmech.lab.asu.edu
Jay Oswald
http://compmech.lab.asu.edu/publications.php
J Oswald, G. Arya, Z. Cui, and L.C. Brinson, "Molecular and Coarse-Grained Methods for Microstructure-Property Relations in HSREP", in Elastomeric Polymers with High Rate Sensitivity: Applications in Blast, Shockwave, and Penetration Mechanics. Elsevier Science, Editor, Roshdy G. Barsoum, (2015). V Agrawal, P. Peralta, J. Oswald,. A pressure-transferable coarse-grained potential for modeling the shock Hugoniot of polyethylene. In review, (2016). R Yuan, S. Singh, N. Chawla, J. Oswald,. In review, (2016).
compmech.lab.asu.edu
Jay Oswald
http://compmech.lab.asu.edu/codes.php
These are codes that demonstrate basic methods in computational mechanics. Note to prospective students:. These sample codes are simple implementations of basic methods. Any students interested in experimenting with these codes or expanding their capabilities are exactly the type of students that are a good fit for this research group. 2D finite element code in Python. This code demonstrates a simple 2D plane strain finite element code in Python using both numpy. Matlab code for 1D bridging domain method.
compmech.lab.asu.edu
Jay Oswald
http://compmech.lab.asu.edu/group.php
Jay Oswald, Ph.D. School for Engineering of Matter, Transport and Energy. Development of computational mechanics: finite element methods, molecular dynamics, and multiscale methods for applications in MEMS, materials failure analysis, and material design. Carmen de la Cruz. Undergraduate - Honors thesis. Undergraduate - Honors thesis.
compmech.lab.asu.edu
Jay Oswald
http://compmech.lab.asu.edu/index.php
Welcome to the Computational Mechanics Group Web Page. The computational mechanics group at ASU is in the School for Engineering of Matter, Transport and Energy. At Arizona State University. Congratulations to Rui Yuan for his successful PhD defense! New student webpages: Rui Yuan. Nanomaterials, Mechanics and MEMS Lab.
compmech.lab.asu.edu
Jay Oswald
http://compmech.lab.asu.edu/opportunity.php
Are you interested in computational mechanics? Our research focuses on the following. Simulating how materials deform and fail. Understanding how mechanics at the molecular level controls the macroscale response. Implementation of new modeling methods with high performance, massively parallel programming. Coursework in mechanics, materials science, and applied mathematics. Programming experience (C , Python, Fortran). Parallel programming (MPI, OpenMP, CUDA). Openings for PhD students.