Selected publications
DeMartinis, D.K.; Stubbs, J.M. ‘Binary phase behavior of select organosulfur compounds in supercritical carbon dioxide: A Monte Carlo molecular simulation study,’ Journal of Chemical Physics, 161, 032501 (2024)
van den Berg, M.P.; Scamman, W.C.; Stubbs, J.M. ‘Monte Carlo molecular simulation of solution and surface-bound DNA hybridization of short oligomers at varying surface densities,’ Biophysical Chemistry, 284, 106784 (2022)
Rivard, B.R.; Cooper, S.J.; Stubbs, J.M. ‘The role of differing probe and target strand lengths in DNA microarrays investigated via Monte Carlo molecular simulation,’ Chemical Physics Letters, 693, 127-131 (2018)
Huber, M.T.; Stubbs, J.M. ‘Prediction of binary phase behavior for supercritical carbon dioxide + 1-pentanol, 2-pentanone, 1-octene or ethylbenzene via molecular simulation,’ Journal of Molecular Liquids, 245, 91-96 (2017)
Stubbs, J.M. ‘Molecular simulations of supercritical fluid systems,’ Journal of Supercritical Fluids, 108, 104-122 (2016)
Research interests
Dr. Stubbs' research interests are focused in two areas: DNA melting and hybridization transitions and tunable solvents for separations. The primary research method for both areas is Monte Carlo molecular simulation, which uses computers to look at model systems and applies statistical mechanics to determine properties of interest.
The first area is focused on DNA sensor microarray technology, which is composed of single-stranded DNA oligomers bound to a surface. The development of this technology relies on knowledge of DNA denaturation or "melting" and hybridization transitions, and their sensitivity to many variables has left several questions unanswered, such as the mechanism by which changes in physical environment between solution and bound DNA act to influence hybridization, or competitive adsorption of nearly identical sequences.
The second area attempts to improve upon separation technology using fairly innocuous materials such as supercritical carbon dioxide and polyethylene glycol to achieve what traditional processes do with more detrimental materials. Molecular simulations allow the modeling of such systems with the goal of optimizing solvation conditions and is done by carrying out calculations with varying thermodynamic (e.g. temperature and/or pressure) conditions and compositions.
