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Materials Modeling from Quantum Mechanics to The Mesoscale

G. Fitzgerald1, G. Goldbeck-Wood2, P. Kung1, M. Petersen1, L. Subramanian1, J. Wescott2

Accelrys, Inc., 10188 Telesis Ct., San Diego, CA 92121,USA
Accelrys, Inc., 334 Cambridge Science Park, Cambridge CB4 0WN, England

Computer Modeling in Engineering & Sciences 2008, 24(2&3), 169-184.


Molecular modeling has established itself as an important component of applied research in areas such as drug discovery, catalysis, and polymers. Algorithmic improvements to these methods coupled with the increasing speed of computational hardware are making it possible to perform predictive modeling on ever larger systems. Methods are now available that are capable of modeling hundreds of thousands of atoms, and the results can have a significant impact on real-world engineering problems. The article reviews some of the modeling methods currently in use; provides illustrative examples of applications to challenges in sensors, fuel cells, and nanocomposites; and finally discusses prospects for future modeling approaches.


Cite This Article

Fitzgerald, G., Goldbeck-Wood, G., Kung, P., Petersen, M., Subramanian, L. et al. (2008). Materials Modeling from Quantum Mechanics to The Mesoscale. CMES-Computer Modeling in Engineering & Sciences, 24(2&3), 169–184.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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