Sunday, August 18, 2019
Theoretical Study and Computational Modeling :: Graduate Admissions Essays
Theoretical Study and Computational Modeling  As the science of theoretical chemistry has matured, its focus  has shifted from analytically solvable problems, such as the  atomic structure of hydrogen, to more complex problems for which  analytical solutions are difficult or impossible to specify.  Important questions about the behavior of condensed phases of  matter, the electronic structure of heavy atoms and the _in  vivo_ conformation of biological macromolecules fall into this  class. The powerful, highly-parallel supercomputers that have  evolved from recent advances in computing technology are ideally  suited to the mathematical modeling of these complex chemical  phenomena. Simulations in which the trajectories of a large  number of interacting bodies must be computed simultaneously,  such as statistical-mechanical Monte Carlo studies or molecular  dynamics simulations, are particularly appropriate for  implementation on parallel machines. I plan to devote my  graduate and postgraduate work to the theoretical study and  computational modeling of these many-body systems.   In preparation for this work, I have developed a strong  background in mathematics and computer science in addition to my  coursework in chemistry. Given the current demand for increased  computing capacity, this background should prove beneficial.  For example, while recent advances in computer hardware alone  promise potential tenfold increases in speed, truly significant  jumps in computing power (speedups of, say, a thousandfold) will  require changes in currently available programming environments  and the reformulation of popular simulation algorithms.  Furthermore, until highly-parallel machines become widely  available, even modest increases in capacity will depend in part  upon the innovative use of existing hardware through the  continued modification of available software and the development  of new algorithms. My elective work in computer science and  mathematics should prove useful for both the revision of  existin g programs and the eventual development of new programs  and languages specifically designed for the parallel  architecture of tomorrow's supercomputers.   After completing my doctoral work, I plan to seek employment as  a university professor.
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