Chemical Engineering (10) - Archived
http://hdl.handle.net/1721.1/33980
Chemical Engineering (10)Thu, 19 Oct 2017 21:52:23 GMT2017-10-19T21:52:23Z10.34 Numerical Methods Applied to Chemical Engineering, Fall 2006
http://hdl.handle.net/1721.1/111578
10.34 Numerical Methods Applied to Chemical Engineering, Fall 2006
Green Jr., William
Numerical methods for solving problems arising in heat and mass transfer, fluid mechanics, chemical reaction engineering, and molecular simulation. Topics: numerical linear algebra, solution of nonlinear algebraic equations and ordinary differential equations, solution of partial differential equations (e.g. Navier-Stokes), numerical methods in molecular simulation (dynamics, geometry optimization). All methods are presented within the context of chemical engineering problems. Familiarity with structured programming is assumed. The examples will use MATLAB®. Acknowledgements The instructor would like to thank Robert Ashcraft, Sandeep Sharma, David Weingeist, and Nikolay Zaborenko for their work in preparing materials for this course site.
Fri, 01 Dec 2006 00:00:00 GMThttp://hdl.handle.net/1721.1/1115782006-12-01T00:00:00Z22.00J / 1.021J / 3.021J / 10.333J / 18.361J / 2.030J / HST.558 Introduction to Modeling and Simulation, Spring 2002
http://hdl.handle.net/1721.1/35256
22.00J / 1.021J / 3.021J / 10.333J / 18.361J / 2.030J / HST.558 Introduction to Modeling and Simulation, Spring 2002
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)
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.
Sat, 01 Jun 2002 00:00:00 GMThttp://hdl.handle.net/1721.1/352562002-06-01T00:00:00Z10.34 Numerical Methods Applied to Chemical Engineering, Fall 2001
http://hdl.handle.net/1721.1/34965
10.34 Numerical Methods Applied to Chemical Engineering, Fall 2001
Beers, Kenneth J.
Numerical methods for solving problems arising in heat and mass transfer, fluid mechanics, chemical reaction engineering, and molecular simulation. Topics: numerical linear algebra, solution of nonlinear algebraic equations and ordinary differential equations, solution of partial differential equations (e.g. Navier-Stokes), numerical methods in molecular simulation (dynamics, geometry optimization). All methods are presented within the context of chemical engineering problems. Familiarity with structured programming is assumed. From the course home page: Course Description This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Probability theory and its use in physical modeling is covered, as is the statistical analysis of data and parameter estimation. The finite difference and finite element techniques are presented for converting the partial differential equations obtained from transport phenomena to DAE systems. The use of these techniques will be demonstrated throughout the course in the MATLABĀ® computing environment.
Sat, 01 Dec 2001 00:00:00 GMThttp://hdl.handle.net/1721.1/349652001-12-01T00:00:00Z10.391J / 1.818J / 2.65J / 3.564J / 11.371J / 22.811J / ESD.166J Sustainable Energy, Spring 2003
http://hdl.handle.net/1721.1/35788
10.391J / 1.818J / 2.65J / 3.564J / 11.371J / 22.811J / ESD.166J Sustainable Energy, Spring 2003
Tester, Jefferson W.; Drake, Elizabeth Mertz; Golay, M.; Kern, Edward C.
Assessment of current and potential energy systems, covering extraction, conversion and end-use, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. Examination of energy technologies in each fuel cycle stage for fossil (oil, gas, synthetic), solar, biomass, wind, hydro, nuclear, and geothermal energy types, along with storage, transmission, and conservation issues. Focus on evaluation and analysis of energy technology systems in the context of political, social, economic, and environmental goals. Open to upper-class undergraduates.
Sun, 01 Jun 2003 00:00:00 GMThttp://hdl.handle.net/1721.1/357882003-06-01T00:00:00Z