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COMPUTATIONAL MODELING OF
REAL-WORLD SYSTEMS
A brief summary of his Qualifications and Experiences as a Computational and Theoretical Consultant can be examined by following the four Links below.
- A. Monte Carlo Simulation
- B. Thermodynamics & Chemical Process Modeling
- C. Mechanical Dynamics Modeling
- D. Quantum Chemistry and Chemical Informatics.
Dr. Wright's unique Quick Question? Quick Answer! program may provide you with the just the answers you need to make a knowledgeable and timely business decision! An important part of developing and evaluating new technical processes and products is computational modeling.
Coming up with a concept, or hypothesis, is always the first step in developing products or processes that utilize either new technologies or new applications of existing technologies. Computational models are then usually used as a tool to see if the concept or hypothesis violates any of the basic laws of science (conservation of energy, momentum, and matter). These computational models include quantum mechanics, thermodynamics & chemical process analysis, mechanical dynamics modeling, and Monte Carlo Simulation.
There are also scenarios where a computational model can be constructed that will help design technical products or processes that are similar, or complimentary, to existing systems. This process will generally produce substantial savings in time and money while producing significant accuracy in the new design. However, either a prototype or pilot plant will still usually need to be constructed in order to fine-tune the final production model.
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