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Special Guest Lectures
Variational Transition State Theory: Parallel Direct Dynamics for Barrierless Association Reactions
Dr. Jingjing Zheng, University of Minnesota
LONI Institute Computational Scientist Candidate
September 02 2008 11:00 am
Johnston Hall Room 338
POLYRATE is a computer program for the calculation of chemical reaction rates of polyatomic species (and also atoms and diatoms as special cases) using variational transition state theory (VTST) with multidimensional tunneling. The original POLYRATE program was especially well suited for simple barrier reactions. But numerous reactions, especially in atmospheric and combustion chemistry, have no potential energy barrier between reactants and products. We have implemented a flexible VTST treatment for barrierless association reaction by employing a variable reaction coordinate and multifaceted dividing surfaces. The most time-consuming part of the calculation is an integral on eight- dimensional multifaceted hypersurface in the coordinate space of the interacting reagents; this hypersurface is conventionally called the dividing surface. The integral on the dividing surface is evaluated by the Monte Carlo method. The Monte Carlo integration requires thousands of samples of the energy to achieve a reasonably accurate result, and each sample requires a full electronic structure calculation. The electronic structure energies are calculated �on the fly� by interfacing the dynamics program with an electronic structure program; this procedure is called direct dynamics. The Monte Carlo integration is massively parallelized using the MPI message passing interface. By using an efficient strategy for achieving load balance and by using parallel I/O, we developed a new parallel version of POLYRATE that can be applied to large-scale problems on distributed-memory computers with almost linear scaling up to 150 processors and with 85% efficiency for 250 processors. The program has been well documented and is made available on the Internet for general use.
 
IT Eminent Lecture Series
Multiscale Simulation of Biochemical Systems
(co-sponsored by CCT and the Computer Science Department)
Linda Petzold, University of California Santa Barbara
September 05 2008 2:30 pm
Coates Hall Room 145
In microscopic systems formed by living cells, the small numbers of some reactant molecules can result in dynamical behavior that is discrete and stochastic rather than continuous and deterministic. An analysis tool that respects these dynamical characteristics is the stochastic simulation algorithm (SSA). Despite recent improvements, as a procedure that simulates every reaction event, the SSA is necessarily inefficient for most realistic problems. There are two main reasons for this, both arising from the multiscale nature of the underlying problem: (1) the presence of multiple timescales (both fast and slow reactions); and (2) the need to include in the simulation both chemical species that are present in relatively small quantities and should be modeled by a discrete stochastic process, and species that are present in larger quantities and are more efficiently modeled by a deterministic differential equation. We will describe several recently developed techniques for multiscale simulation of biochemical systems, and outline some of the future challenges.
 

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