2026-09-19T23:48:28Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/328542022-01-13T07:54:33Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
David K. Roylance.
Waksman, George
Massachusetts Institute of Technology. Dept. of Materials Science and Engineering.
Massachusetts Institute of Technology. Department of Materials Science and Engineering
2006-05-15T20:34:49Z
2006-05-15T20:34:49Z
2005
2005
http://hdl.handle.net/1721.1/32854
61463004
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2005.
Includes bibliographical references (leaf 19).
Throughout the history of science, people have been developing models to explain reality. The advent of computer technology has made it possible to devise and implement incredibly complicated numerical models in a relatively short period of time; for example, three-body problems, impossible to solve analytically, becomes trivial to model with computers. Beyond three-body problems, computers have been instrumental in solving many-body problems, such as those encountered in the atomic interactions within materials. Since computer modeling of atomic systems does not predate computers, it is still in its childhood, requiring further investigations. In order to further the development of computer modeling and a general understanding of reality, novel model algorithms for the simulation of polymeric systems have been developed. The proposed algorithms are empirical in nature, having been derived from observed atomic and molecular behavior, owing little to subatomic theories. The algorithms were developed to model polyethylene but extensions are provided to allow possible generalization to any other polymeric system.
by George Waksman.
S.B.
59 leaves
1945360 bytes
1946818 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Materials Science and Engineering.
Novel potentials for the simulation of polyethylene and other polymeric systems
Thesis
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