CHEMICAL AND BIOLOGICAL SCIENCES
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Theresa Windus Associate, Ames Laboratory 124 Spedding Hall |
PERSONAL HISTORY
RESEARCH INTERESTS
Development of new methods and algorithms for high performance computational chemistry as well as applying those techniques to both basic and applied research. Understanding reaction mechanisms and dynamics for complex systems such as those of nucleation and growth of clusters, heavy element systems (actinides), molecular scale investigations of cell signaling processes. Development of algorithms that combine quantum mechanics and dynamics to run on thousands to ten thousands of processors. Computational science methods to enable integration of multiple software components. Continuing development in computational chemistry codes NWChem and GAMESS.
RECENT PUBLICATIONS
T.L. Windus, E.J. Bylaska, M. Dupuis, S. Hirata, L. Pollack, D.M. Smith, T.P. Straatsma, E. Apra, “NWChem: New functionality”, Computational Science – ICCS 2003, Pt. IV, Proceedings, Lecture Notes in Computer Science, 2660, 168-177 (2003).
K. Kowalski, S. Hirata, M. Wloch, P. Piecuch, and T.L. Windus, “Active-space coupled-cluster study of electronic states of Be3 using computer generated programs”, J. Chem. Phys., 123, 074319 (2005).
G. Vayner, Y. Alexeev, J. Wang, T.L. Windus, and W.L. Hase, “Ab Initio and Analytic Intermolecular Potentials for Ar-CF4, J. Phys. Chem. A, 110, 3174-3178 (2006).
P. Piecuch, S. Hirata, K. Kowalski, P.-D. Fan, and T.L. Windus, “Automated Derivation and Parallel Computer Implementation of Renormalized and Active-Space Coupled-Cluster Methods”, Int. J. Quantum Chem., 106, 79-97 (2006).
U. Lourderaj, K. Song, T.L. Windus, Y. Zhuang, and W.L. Hase, “Direct Dynamics Simulations using Hessian-Based Predictor-Corrector Integration Algorithms”, J. Chem. Phys., 126, 044105 (2007).