22.00J / 1.021J / 3.021J / 10.333J / 18.361J / 2.030J / HST.558 Introduction to Modeling and Simulation, Spring 2002

Basic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields. Techniques and software for statistical sampling, simulation, data analysis and visualization. Use of statistical, quantum chemical, molecular dynamics, Monte Carlo, mesoscale and con...

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Bibliographic Details
Main Authors: Yip, Sidney, Powell, Adam C., Bazant, Martin Z., Carter, W. Craig, Marzari, Nicola, Rosales, Rodolfo, White, Jacob K., Cao, Jianshu, Hadjiconstantinou, Nicolas G (Nicholas George), Mirny, Leonid A., Trout, Bernhardt L., Ulm, F.-J. (Franz-Josef)
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Learning Object
Language:en-US
Published: 2002
Subjects:
Online Access:http://hdl.handle.net/1721.1/35256
Description
Summary:Basic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields. Techniques and software for statistical sampling, simulation, data analysis and visualization. Use of statistical, quantum chemical, molecular dynamics, Monte Carlo, mesoscale and continuum methods to study fundamental physical phenomena encountered in the fields of computational physics, chemistry, mechanics, materials science, biology, and applied mathematics. Applications drawn from a range of disciplines to build a broad-based understanding of complex structures and interactions in problems where simulation is on equal-footing with theory and experiment. Term project allows development of individual interest. Student mentoring by a coordinated team of participating faculty from across the Institute.