The Computational Chemistry Group develops, validates and applies computational chemistry methods for estimating and predicting the chemical and physical properties of molecules; evaluates new theories, models, estimation methods, and computational techniques for the study of physical-chemical properties of molecules, including thermochemistry, kinetics, reaction mechanisms as well as electrical, magnetic and optical properties of materials; compiles and disseminates comparisons of computational predictions with experimental measurements to provide a framework upon which to establish the accuracy and precision of computational methods; and develops resources to provide guidance to researchers in industry, academia and national laboratories in the use of computational chemistry methods.
Connecting Thermodynamic and Dynamic Properties of Bulk and Confined Fluids — It is well known that the physical properties of a fluid can change profoundly, and often non-trivially, when placed in a confined environment. Only for the simplest of fluids do there exist …
Density Functional Tight Binding Methods — Density Functional Tight Binding (DFTB) methods have been shown to be capable of producing reliable molecular structures and energetics at a significantly reduced computational cost. The …
Explosives Decomposition Chemistry —
High-energy materials are commonly used as military explosives and as advanced propellants. The detailed chemical reactions responsible for detonation, deflagration, combustion, and slow ageing …
Peptide Ion Fragmentation —
Proteomics is an emerging technology that promises instant diagnoses of disease based upon characteristic molecular "markers." The primary analytical tool is tandem mass spectrometry. …
Solvation Thermodynamics —
Using data from REFPROP 8.0, thermodynamic quantities for the self-solvation of 76 pure fluids were computed. These quantities are valuable for comparison to similar data derived from experiment, …
Understanding Protein Solution Phase Behavior via Coarse-Grained Modeling — Much of our knowledge of protein folding comes from experiments on polypeptides in dilute solutions or from theoretical models of isolated proteins. However, neither biological cells nor protein …
Virtual Measurements —
Compared with conventional, physical measurements, the cost of computational modeling continues to drop. This has driven many industries to incorporate computational predictions in their …