In 2012, the School of Science and Technology obtained a High Performance Computing (HPC) cluster for use by students and faculty. Since the cluster first came on-line, approximately 40 faculty and over 500 students have utilized the instrument to provide computational support of teaching and research STEM objectives in Chemistry, Physics, Mathematics, and Information Technology. The GGC HPC cluster currently has 1 physical head node and 8 physical compute nodes which equates to a parallel computing environment with 144 available processors. The cluster supports faculty and student research in Computational Chemistry (electronic structure modeling, molecular dynamics), Astronomical data frequency analysis, Computational Algebraic Group Theory, Kinetic Monte Carlo simulation, and Domain Decomposition methods for Partial Differential Equations
As part of a CURE project in Physical Chemistry, students calculated IR spectra for molecules and evaluated the effects of fluorine on stability and affinity of drug molecules.
Optimization and Molecular Docking
Students perform geometry optimization and DNA binding molecular docking studies of 9-aminoacridine derivatives.