A Multiconductor Modeling Engine Employing a Monte Carlo    Algorithm
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{'SignBlockName': 'Kesh S. Narayanan', 'PO_EMAI': None, 'PO_PHON': None}
The goal of this research is to study the Monte Carlo simulation                technique implemented using parallel processors for solving problems of         any complex geometry.  Comparisons are also made against standard               technique, such as the finite difference and finite element methods.  A         prototype model, built using low cost transputers, is currently under           development.                                                                    An investment in massive and inexpensive processors is of significant           importance in solving a large class of problems in field theory,                weather processing, nuclear science, thermodynamics, and other areas.           The approach proposed can help solve engineering and manufacturing              problems and present an important application for large scale parallel          processors.
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{'Code': '5371', 'Text': 'SBIR Phase I'}
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