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1   %\documentclass[prb,aps,twocolumn,tabularx]{revtex4}
2 < \documentclass[preprint,aps,endfloats]{revtex4}
2 > \documentclass[11pt]{article}
3   %\documentclass[11pt]{article}
4 < %\usepackage{endfloat}
4 > \usepackage{endfloat}
5   \usepackage{amsmath}
6   \usepackage{epsf}
7   \usepackage{berkeley}
8 < %\usepackage{setspace}
9 < %\usepackage{tabularx}
8 > \usepackage{setspace}
9 > \usepackage{tabularx}
10   \usepackage{graphicx}
11 < %\usepackage[ref]{overcite}
12 < %\pagestyle{plain}
13 < %\pagenumbering{arabic}
14 < %\oddsidemargin 0.0cm \evensidemargin 0.0cm
15 < %\topmargin -21pt \headsep 10pt
16 < %\textheight 9.0in \textwidth 6.5in
17 < %\brokenpenalty=10000
11 > \usepackage[ref]{overcite}
12 > \pagestyle{plain}
13 > \pagenumbering{arabic}
14 > \oddsidemargin 0.0cm \evensidemargin 0.0cm
15 > \topmargin -21pt \headsep 10pt
16 > \textheight 9.0in \textwidth 6.5in
17 > \brokenpenalty=10000
18 > \renewcommand{\baselinestretch}{1.2}
19 > \renewcommand\citemid{\ } % no comma in optional reference note
20  
20 %\renewcommand\citemid{\ } % no comma in optional reference note
21
21   \begin{document}
22  
23 < \title{A Free Energy Study of Low Temperature and Anomalous Ice}
23 > \title{Ice-{\it i}: a novel ice polymorph predicted via computer simulation}
24  
25 < \author{Christopher J. Fennell and J. Daniel Gezelter{\thefootnote}
26 < \footnote[1]{Corresponding author. \ Electronic mail: gezelter@nd.edu}}
28 <
29 < \address{Department of Chemistry and Biochemistry\\ University of Notre Dame\\
25 > \author{Christopher J. Fennell and J. Daniel Gezelter \\
26 > Department of Chemistry and Biochemistry\\ University of Notre Dame\\
27   Notre Dame, Indiana 46556}
28  
29   \date{\today}
30  
31 < %\maketitle
31 > \maketitle
32   %\doublespacing
33  
34   \begin{abstract}
35   The free energies of several ice polymorphs in the low pressure regime
36 < were calculated using thermodynamic integration of systems consisting
37 < of a variety of common water models. Ice-{\it i}, a recent
38 < computationally observed solid structure, was determined to be the
39 < stable state with the lowest free energy for all the water models
40 < investigated. Phase diagrams were generated, and melting and boiling
41 < points for all the models were determined and show relatively good
42 < agreement with experiment, although the solid phase is different
43 < between simulation and experiment. In addition, potential truncation
44 < was shown to have an effect on the calculated free energies, and may
45 < result in altered free energy landscapes.
36 > were calculated using thermodynamic integration.  These integrations
37 > were done for most of the common water models. Ice-{\it i}, a
38 > structure we recently observed to be stable in one of the single-point
39 > water models, was determined to be the stable crystalline state (at 1
40 > atm) for {\it all} the water models investigated.  Phase diagrams were
41 > generated, and phase coexistence lines were determined for all of the
42 > known low-pressure ice structures under all of the common water
43 > models.  Additionally, potential truncation was shown to have an
44 > effect on the calculated free energies, and can result in altered free
45 > energy landscapes.
46   \end{abstract}
47  
51 \maketitle
52
53 \newpage
54
48   %\narrowtext
49  
50   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Line 60 | Line 53 | Molecular dynamics has developed into a valuable tool
53  
54   \section{Introduction}
55  
56 < Molecular dynamics has developed into a valuable tool for studying the
57 < phase behavior of systems ranging from small or simple
58 < molecules\cite{smallStuff} to complex biological
59 < species.\cite{bigStuff} Many techniques have been developed in order
60 < to investigate the thermodynamic properites of model substances,
56 > Molecular dynamics is a valuable tool for studying the phase behavior
57 > of systems ranging from small or simple
58 > molecules\cite{Matsumoto02andOthers} to complex biological
59 > species.\cite{bigStuff} Many techniques have been developed to
60 > investigate the thermodynamic properites of model substances,
61   providing both qualitative and quantitative comparisons between
62   simulations and experiment.\cite{thermMethods} Investigation of these
63   properties leads to the development of new and more accurate models,
# Line 72 | Line 65 | simulations, and has resulted in a variety of models t
65   and intricate molecular systems.
66  
67   Water has proven to be a challenging substance to depict in
68 < simulations, and has resulted in a variety of models that attempt to
69 < describe its behavior under a varying simulation
70 < conditions.\cite{lotsOfWaterPapers} Many of these models have been
71 < used to investigate important physical phenomena like phase
72 < transitions and the hydrophobic effect.\cite{evenMorePapers} With the
73 < advent of numerous differing models, it is only natural that attention
74 < is placed on the properties of the models themselves in an attempt to
75 < clarify their benefits and limitations when applied to a system of
76 < interest.\cite{modelProps} One important but challenging property to
77 < quantify is the free energy, particularly of the solid forms of
78 < water. Difficulty in these types of studies typically arises from the
79 < assortment of possible crystalline polymorphs that water that water
80 < adopts over a wide range of pressures and temperatures. There are
81 < currently 13 recognized forms of ice, and it is a challenging task to
82 < investigate the entire free energy landscape.\cite{Sanz04} Ideally,
83 < research is focused on the phases having the lowest free energy,
84 < because these phases will dictate the true transition temperatures and
85 < pressures for their respective model.
68 > simulations, and a variety of models have been developed to describe
69 > its behavior under varying simulation
70 > conditions.\cite{Berendsen81,Jorgensen83,Bratko85,Berendsen87,Liu96,Mahoney00,Fennell04}
71 > These models have been used to investigate important physical
72 > phenomena like phase transitions and the hydrophobic
73 > effect.\cite{Yamada02} With the choice of models available, it
74 > is only natural to compare the models under interesting thermodynamic
75 > conditions in an attempt to clarify the limitations of each of the
76 > models.\cite{modelProps} Two important property to quantify are the
77 > Gibbs and Helmholtz free energies, particularly for the solid forms of
78 > water.  Difficulty in these types of studies typically arises from the
79 > assortment of possible crystalline polymorphs that water adopts over a
80 > wide range of pressures and temperatures. There are currently 13
81 > recognized forms of ice, and it is a challenging task to investigate
82 > the entire free energy landscape.\cite{Sanz04} Ideally, research is
83 > focused on the phases having the lowest free energy at a given state
84 > point, because these phases will dictate the true transition
85 > temperatures and pressures for their respective model.
86  
87   In this paper, standard reference state methods were applied to the
88   study of crystalline water polymorphs in the low pressure regime. This
# Line 97 | Line 90 | themselves\cite{nucleationStudies}; however, the cryst
90   arrived at through crystallization of a computationally efficient
91   water model under constant pressure and temperature
92   conditions. Crystallization events are interesting in and of
93 < themselves\cite{nucleationStudies}; however, the crystal structure
93 > themselves\cite{Matsumoto02,Yamada02}; however, the crystal structure
94   obtained in this case was different from any previously observed ice
95   polymorphs, in experiment or simulation.\cite{Fennell04} This crystal
96   was termed Ice-{\it i} in homage to its origin in computational
# Line 114 | Line 107 | Results in the previous study indicated that Ice-{\it
107   diameter. This relatively open overall structure leads to crystals
108   that are 0.07 g/cm$^3$ less dense on average than ice $I_h$.
109  
110 + \begin{figure}
111 + \includegraphics[width=\linewidth]{unitCell.eps}
112 + \caption{Unit cells for (A) Ice-{\it i} and (B) Ice-2{\it i}, the elongated variant of Ice-{\it i}.  For Ice-{\it i}, the $a$ to $c$ relation is given by $a = 2.1214c$, while for Ice-2{\it i}, $a = 1.7850c$.}
113 + \label{iceiCell}
114 + \end{figure}
115 +
116 + \begin{figure}
117 + \includegraphics[width=\linewidth]{orderedIcei.eps}
118 + \caption{Image of a proton ordered crystal of Ice-{\it i} looking
119 + down the (001) crystal face. The rows of water tetramers surrounded by
120 + octagonal pores leads to a crystal structure that is significantly
121 + less dense than ice $I_h$.}
122 + \label{protOrder}
123 + \end{figure}
124 +
125   Results in the previous study indicated that Ice-{\it i} is the
126   minimum energy crystal structure for the single point water models
127   being studied (for discussions on these single point dipole models,
# Line 197 | Line 205 | state.
205   minimum potential energy of the ideal crystal. In the case of
206   molecular liquids, the ideal vapor is chosen as the target reference
207   state.
208 +
209   \begin{figure}
210 < \includegraphics[scale=1.0]{rotSpring.eps}
210 > \includegraphics[width=\linewidth]{rotSpring.eps}
211   \caption{Possible orientational motions for a restrained molecule.
212   $\theta$ angles correspond to displacement from the body-frame {\it
213   z}-axis, while $\omega$ angles correspond to rotation about the
# Line 209 | Line 218 | cubic switching between 100\% and 85\% of the cutoff v
218   \end{figure}
219  
220   Charge, dipole, and Lennard-Jones interactions were modified by a
221 < cubic switching between 100\% and 85\% of the cutoff value (9 \AA ). By
222 < applying this function, these interactions are smoothly truncated,
223 < thereby avoiding poor energy conserving dynamics resulting from
224 < harsher truncation schemes. The effect of a long-range correction was
225 < also investigated on select model systems in a variety of manners. For
226 < the SSD/RF model, a reaction field with a fixed dielectric constant of
227 < 80 was applied in all simulations.\cite{Onsager36} For a series of the
228 < least computationally expensive models (SSD/E, SSD/RF, and TIP3P),
229 < simulations were performed with longer cutoffs of 12 and 15 \AA\ to
230 < compare with the 9 \AA\ cutoff results. Finally, results from the use
231 < of an Ewald summation were estimated for TIP3P and SPC/E by performing
221 > cubic switching between 100\% and 85\% of the cutoff value (9 \AA
222 > ). By applying this function, these interactions are smoothly
223 > truncated, thereby avoiding poor energy conserving dynamics resulting
224 > from harsher truncation schemes. The effect of a long-range correction
225 > was also investigated on select model systems in a variety of
226 > manners. For the SSD/RF model, a reaction field with a fixed
227 > dielectric constant of 80 was applied in all
228 > simulations.\cite{Onsager36} For a series of the least computationally
229 > expensive models (SSD/E, SSD/RF, and TIP3P), simulations were
230 > performed with longer cutoffs of 12 and 15 \AA\ to compare with the 9
231 > \AA\ cutoff results. Finally, results from the use of an Ewald
232 > summation were estimated for TIP3P and SPC/E by performing
233   calculations with Particle-Mesh Ewald (PME) in the TINKER molecular
234 < mechanics software package. TINKER was chosen because it can also
235 < propagate the motion of rigid-bodies, and provides the most direct
236 < comparison to the results from OOPSE. The calculated energy difference
237 < in the presence and absence of PME was applied to the previous results
238 < in order to predict changes in the free energy landscape.
234 > mechanics software package.\cite{Tinker} TINKER was chosen because it
235 > can also propagate the motion of rigid-bodies, and provides the most
236 > direct comparison to the results from OOPSE. The calculated energy
237 > difference in the presence and absence of PME was applied to the
238 > previous results in order to predict changes in the free energy
239 > landscape.
240  
241   \section{Results and discussion}
242  
# Line 254 | Line 265 | kcal/mol. *Ice $I_c$ is unstable at 200 K using SSD/RF
265   of 9 \AA\ and were performed at 200 K and $\sim$1 atm. Units are
266   kcal/mol. *Ice $I_c$ is unstable at 200 K using SSD/RF.}
267   \begin{tabular}{ l  c  c  c  c }
268 < \hline \\[-7mm]
268 > \hline
269   \ \quad \ Water Model\ \ & \ \quad \ \ \ \ $I_h$ \ \ & \ \quad \ \ \ \ $I_c$ \ \  & \ \quad \ \ \ \ B \ \  & \ \quad \ \ \ Ice-{\it i} \ \quad \ \\
270 < \hline \\[-3mm]
270 > \hline
271   \ \quad \ TIP3P  & \ \quad \ -11.41 & \ \quad \ -11.23 & \ \quad \ -11.82 & \quad -12.30\\
272   \ \quad \ TIP4P  & \ \quad \ -11.84 & \ \quad \ -12.04 & \ \quad \ -12.08 & \quad -12.33\\
273   \ \quad \ TIP5P  & \ \quad \ -11.85 & \ \quad \ -11.86 & \ \quad \ -11.96 & \quad -12.29\\
# Line 283 | Line 294 | TIP4P in the high pressure regime.\cite{Sanz04}
294   representative of the dense ice polymorphs. A recent study by Sanz
295   {\it et al.} goes into detail on the phase diagrams for SPC/E and
296   TIP4P in the high pressure regime.\cite{Sanz04}
297 +
298   \begin{figure}
299   \includegraphics[width=\linewidth]{tp3PhaseDia.eps}
300   \caption{Phase diagram for the TIP3P water model in the low pressure
# Line 292 | Line 304 | higher in energy and don't appear in the phase diagram
304   higher in energy and don't appear in the phase diagram.}
305   \label{tp3phasedia}
306   \end{figure}
307 +
308   \begin{figure}
309   \includegraphics[width=\linewidth]{ssdrfPhaseDia.eps}
310   \caption{Phase diagram for the SSD/RF water model in the low pressure
# Line 310 | Line 323 | temperatures of several common water models compared w
323   \caption{Melting ($T_m$), boiling ($T_b$), and sublimation ($T_s$)
324   temperatures of several common water models compared with experiment.}
325   \begin{tabular}{ l  c  c  c  c  c  c  c }
326 < \hline \\[-7mm]
326 > \hline
327   \ \ Equilibria Point\ \ & \ \ \ \ \ TIP3P \ \ & \ \ \ \ \ TIP4P \ \ & \ \quad \ \ \ \ TIP5P \ \ & \ \ \ \ \ SPC/E \ \ & \ \ \ \ \ SSD/E \ \ & \ \ \ \ \ SSD/RF \ \ & \ \ \ \ \ Exp. \ \ \\
328 < \hline \\[-3mm]
328 > \hline
329   \ \ $T_m$ (K)  & \ \ 269 & \ \ 265 & \ \ 271 &  297 & \ \ - & \ \ 278 & \ \ 273\\
330   \ \ $T_b$ (K)  & \ \ 357 & \ \ 354 & \ \ 337 &  396 & \ \ - & \ \ 349 & \ \ 373\\
331   \ \ $T_s$ (K)  & \ \ - & \ \ - & \ \ - &  - & \ \ 355 & \ \ - & \ \ -\\
# Line 401 | Line 414 | long-range interaction correction. Units are kcal/mol.
414   the energy difference attributed to the inclusion of the PME
415   long-range interaction correction. Units are kcal/mol.}
416   \begin{tabular}{ l  c  c  c  c }
417 < \hline \\[-7mm]
417 > \hline
418   \ \ Water Model \ \ & \ \ \ \ \ $I_h$ \ \ & \ \ \ \ \ $I_c$ \ \ & \ \quad \ \ \ \ B \ \ & \ \ \ \ \ Ice-{\it i} \ \ \\
419 < \hline \\[-3mm]
419 > \hline
420   \ \ TIP3P  & \ \ -11.53 & \ \ -11.24 & \ \ -11.51 & \ \ -11.67\\
421   \ \ SPC/E  & \ \ -12.77 & \ \ -12.92 & \ \ -12.96 & \ \ -13.02\\
422   \end{tabular}

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