Resources (1-7 of 7)

1. MSE 498: Computational Materials Science and Engineering

   30 Mar 2015 | | Contributor(s):: Andrew Ferguson

         This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g.,...

2. [Illinois] Signal Integrity and Power Integrity Based on Computational Electromagnetics

   20 Jan 2015 | | Contributor(s):: Li-Jun Jiang

3. [Illinois] Computational Microscopy for Health and Technology

   17 Dec 2013 | | Contributor(s):: Klaus Schulten

   It is today becoming possible to view and study biological systems on the cellular scale using computational methods, offering insights into new solutions to mankind's health and energy needs. Engineers and scientists at our NIH Center for Macromolecular Modeling and Bioinformatics have...

4. [Illinois] PHYS466 2013: Atomic Scale Simulations

   06 Feb 2013 | | Contributor(s):: David M. Ceperley

   Application of Monte Carlo and Molecular Dynamics techniques in primarily classical simulations to understand and predict properties of microscopic systems in materials science, physics, biology, and chemistry. Numerical algorithms, connections between simulation results and real properties of...

5. Illinois 2011: Dr. Shah Yunus - Future of Innovation

   04 Apr 2012 | | Contributor(s):: Shah Yunus, Nadia Jassim

   Dr. Shah Yunus: Operational Vice President for Product Development, ESI-Group.

6. Illinois 2011 NanoBiophotonics Summer School Lecture 1: Welcome

   04 Dec 2011 | | Contributor(s):: Rashid Bashir, Nahil Sobh

   1)     Prof. Art Kramer, Director - Beckman Institute2)     Prof. Ilesanmi Adesida, Dean of Engineering3)     Prof. Rashid Bashir, Director - Micro and Nanotechnology Laboratory4)     Dr. Marina...

7. Why Computational Electromagnetics?

   28 Jul 2011 | | Contributor(s):: Dragica Vasileska

   This set of lectures explains the need for computational electromagnetics and what methods are available for solving electromagnetic problems.