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Teaching Computational Materials Science for Nanoscale Science and Engineering

Published online by Cambridge University Press:  15 March 2011

S.C. Glotzer ,
M.A. Horsch ,
M.H. Lamm ,
C.R. Iacovella  and
Z.L. Zhang
S.C. Glotzer
Affiliation:
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136 Department of Materials Science & Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136
M.A. Horsch
Affiliation:
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136
M.H. Lamm
Affiliation:
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136
C.R. Iacovella
Affiliation:
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136
Z.L. Zhang
Affiliation:
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136
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Abstract

We describe the development of a graduate level course designed to teach computational materials science and its application to nanoscale science and engineering. We discuss the use of MatDL, a web-based digital library and materials science resource, as a collaborative learning tool within the context of the course.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 827: Symposium BB – Educating Tomorrow's materials Scientists & Engineers , 2004 , BB2.4
Copyright
Copyright © Materials Research Society 2004

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References

[1] Bartolo, L., Lowe, C.S. and Glotzer, S.C., Proceedings of International Society for Knowledge Organization (ISKO), in press.Google Scholar
[2] Bartolo, L., Glotzer, S.C., Powell, A.C. IV, Sadoway, D., and Warren, J.A., MRS Symposium BB, this proceedings.Google Scholar
[3] Frenkel, D. and Smit, B., Understanding Molecular Simulation: From Algorithms to Applications, 2nd Edition, Academic Press, 2002.Google Scholar
[4] Leach, A.R., Molecular Modeling: Principles and Applications, 2nd Ed., Prentice Hall, 2001.Google Scholar