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# Line 38 | Line 38
38   \work{Dissertation}  % Change to ``Thesis'' for Master's thesis
39   \title{MOLECULAR DYNAMICS SIMULATIONS OF PHOSPHOLIPID BILAYERS AND LIQUID CRYSTALS}
40   \author{Teng Lin}
41 < \degprior{B.Sc.}                 % All previously earned degrees
41 > \degprior{B.Sc., B.E.}                 % All previously earned degrees
42   \degaward{Doctor of Philosophy}  % What this paper is for
43   \advisor{J. Daniel Gezelter} % supervisor/director/advisor
44   %% \advisorB{}            % second supervisor/director/advisor (if present)
# Line 47 | Line 47 | I present a dissertation utilizing an open source mole
47   %% \copypage              % Uncomment if you want a copyright page
48   \begin{abstract}
49  
50 < I present a dissertation utilizing an open source molecular dynamics
51 < simulation package {\sc oopse}.
50 > As an rapidly expanding interdisciplinary of physics, chemistry and
51 > biology \emph{etc}, soft condensed matter science studies the
52 > kinetics, dynamics and geometric structures of complex materials
53 > like membrane,liquid crystal and polymers \emph{etc}. These soft
54 > condensed matters are distinguished by the unique physical
55 > properties on the mesoscopic scale which can provide useful insights
56 > to understand the basic physical principles linking the microscopic
57 > structure to the macroscopic properties. Knowledge of the underlying
58 > physics is of benefit to a wide range of applications areas, such as
59 > the processing of biocompatible materials and development of LCD
60 > display technologies. Although the separation of the length scale
61 > allows statistical mechanics to be applied, the interesting behavior
62 > of these systems usually happens on the time scale well beyond the
63 > current computing power. In order to simulate large soft condensed
64 > systems for long times within a reasonable amount of computational
65 > time, some new coarse-grained models were proposed in this
66 > dissertation to describe phosphlipids and banana-shaped liquid
67 > crystals. Although these models can be described using a small
68 > number of physical parameter, it is not trivial to maintain the
69 > rigid constraints between different molecular fragments correctly
70 > and efficiently. Working with colleagues, I developed a new
71 > molecular dynamics framework capable of performing simulation on
72 > systems with orientational degrees of freedom in a variety of
73 > ensembles. Using this new package, I study the structure, the
74 > dynamics and transport properties of the biological membranes as
75 > well as the the phase behavior of banana shaped liquid crystal. A
76 > new Langevin dynamics algorithm for arbitrary rigid particles is
77 > proposed to mimic solvent effect which may eventually expand the
78 > time scale of the simulation.
79 >
80   \end{abstract}
81  
82   \begin{dedication}
# Line 65 | Line 93 | helped and supported me throughout all of this work.
93   \begin{acknowledge}    % acknowledgments go here
94  
95      \noindent I would like to thank my advisor, Dr. Gezelter for his inspiring and encouraging way
96 <    to guide me to a deeper understanding of knowledge work. Without his encouragement and constant
96 >    to guide me to a deeper understanding of molecular modeling. Without his encouragement and constant
97      guidance, I could not have finished this dissertation. I am also grateful to my colleagues
98      Charles F.~Vardeman II, Christopher J.~Fennell, Xiuquan Sun, Yang Zheng, Kyle Daily,
99      Kyle S.~Haygarth, Matthew A.~Meineke, Dan Combest, Pat Conforti, and Megan Sprague,

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