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21     \begin{document}
22    
23     \title{Free Energy Analysis of Simulated Ice Polymorphs Using Simple
24     Dipolar and Charge Based Water Models}
25    
26     \author{Christopher J. Fennell and J. Daniel Gezelter \\
27     Department of Chemistry and Biochemistry\\ University of Notre Dame\\
28     Notre Dame, Indiana 46556}
29    
30     \date{\today}
31    
32     \maketitle
33     %\doublespacing
34    
35     \begin{abstract}
36     The absolute free energies of several ice polymorphs which are stable
37     at low pressures were calculated using thermodynamic integration to a
38     reference system (the Einstein crystal). These integrations were
39     performed for most of the common water models (SPC/E, TIP3P, TIP4P,
40     TIP5P, SSD/E, SSD/RF). Ice-{\it i}, a structure we recently observed
41     crystallizing at room temperature for one of the single-point water
42     models, was determined to be the stable crystalline state (at 1 atm)
43     for {\it all} the water models investigated. Phase diagrams were
44     generated, and phase coexistence lines were determined for all of the
45     known low-pressure ice structures under all of these water models.
46     Additionally, potential truncation was shown to have an effect on the
47     calculated free energies, and can result in altered free energy
48     landscapes. Structure factor predictions for the new crystal were
49     generated and we await experimental confirmation of the existence of
50     this new polymorph.
51     \end{abstract}
52    
53     %\narrowtext
54    
55     %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
56     % BODY OF TEXT
57     %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
58    
59     \section{Introduction}
60    
61     Water has proven to be a challenging substance to depict in
62     simulations, and a variety of models have been developed to describe
63     its behavior under varying simulation
64     conditions.\cite{Stillinger74,Rahman75,Berendsen81,Jorgensen83,Bratko85,Berendsen87,Caldwell95,Liu96,Berendsen98,Dill00,Mahoney00,Fennell04}
65     These models have been used to investigate important physical
66     phenomena like phase transitions, transport properties, and the
67     hydrophobic effect.\cite{Yamada02,Marrink94,Gallagher03} With the
68     choice of models available, it is only natural to compare the models
69     under interesting thermodynamic conditions in an attempt to clarify
70     the limitations of each of the
71     models.\cite{Jorgensen83,Jorgensen98b,Clancy94,Mahoney01} Two
72     important properties to quantify are the Gibbs and Helmholtz free
73     energies, particularly for the solid forms of water. Difficulty in
74     these types of studies typically arises from the assortment of
75     possible crystalline polymorphs that water adopts over a wide range of
76     pressures and temperatures. There are currently 13 recognized forms
77     of ice, and it is a challenging task to investigate the entire free
78     energy landscape.\cite{Sanz04} Ideally, research is focused on the
79     phases having the lowest free energy at a given state point, because
80     these phases will dictate the relevant transition temperatures and
81     pressures for the model.
82    
83     In this paper, standard reference state methods were applied to known
84     crystalline water polymorphs in the low pressure regime. This work is
85     unique in that one of the crystal lattices was arrived at through
86     crystallization of a computationally efficient water model under
87     constant pressure and temperature conditions. Crystallization events
88     are interesting in and of themselves;\cite{Matsumoto02,Yamada02}
89     however, the crystal structure obtained in this case is different from
90     any previously observed ice polymorphs in experiment or
91     simulation.\cite{Fennell04} We have named this structure Ice-{\it i}
92     to indicate its origin in computational simulation. The unit cell
93     (Fig. \ref{iceiCell}A) consists of eight water molecules that stack in
94     rows of interlocking water tetramers. This crystal structure has a
95     limited resemblence to a recent two-dimensional ice tessellation
96     simulated on a silica surface.\cite{Yang04} Proton ordering can be
97     accomplished by orienting two of the molecules so that both of their
98     donated hydrogen bonds are internal to their tetramer
99     (Fig. \ref{protOrder}). As expected in an ice crystal constructed of
100     water tetramers, the hydrogen bonds are not as linear as those
101     observed in ice $I_h$, however the interlocking of these subunits
102     appears to provide significant stabilization to the overall crystal.
103     The arrangement of these tetramers results in surrounding open
104     octagonal cavities that are typically greater than 6.3 \AA\ in
105     diameter. This relatively open overall structure leads to crystals
106     that are 0.07 g/cm$^3$ less dense on average than ice $I_h$.
107    
108     \begin{figure}
109     \includegraphics[width=\linewidth]{unitCell.eps}
110     \caption{Unit cells for (A) Ice-{\it i} and (B) Ice-{\it i}$^\prime$,
111     the elongated variant of Ice-{\it i}. The spheres represent the
112     center-of-mass locations of the water molecules. The $a$ to $c$
113     ratios for Ice-{\it i} and Ice-{\it i}$^\prime$ are given by
114     $a:2.1214c$ and $a:1.7850c$ respectively.}
115     \label{iceiCell}
116     \end{figure}
117    
118     \begin{figure}
119     \includegraphics[width=\linewidth]{orderedIcei.eps}
120     \caption{Image of a proton ordered crystal of Ice-{\it i} looking
121     down the (001) crystal face. The rows of water tetramers surrounded
122     by octagonal pores leads to a crystal structure that is significantly
123     less dense than ice $I_h$.}
124     \label{protOrder}
125     \end{figure}
126    
127     Results from our previous study indicated that Ice-{\it i} is the
128     minimum energy crystal structure for the single point water models we
129     had investigated (for discussions on these single point dipole models,
130     see our previous work and related
131     articles).\cite{Fennell04,Liu96,Bratko85} Those results only
132     considered energetic stabilization and neglected entropic
133     contributions to the overall free energy. To address this issue, we
134     have calculated the absolute free energy of this crystal using
135     thermodynamic integration and compared to the free energies of cubic
136     and hexagonal ice $I$ (the experimental low density ice polymorphs)
137     and ice B (a higher density, but very stable crystal structure
138     observed by B\`{a}ez and Clancy in free energy studies of
139     SPC/E).\cite{Baez95b} This work includes results for the water model
140     from which Ice-{\it i} was crystallized (SSD/E) in addition to several
141     common water models (TIP3P, TIP4P, TIP5P, and SPC/E) and a reaction
142     field parametrized single point dipole water model (SSD/RF). It should
143     be noted that a second version of Ice-{\it i} (Ice-{\it i}$^\prime$)
144     was used in calculations involving SPC/E, TIP4P, and TIP5P. The unit
145     cell of this crystal (Fig. \ref{iceiCell}B) is similar to the Ice-{\it
146     i} unit it is extended in the direction of the (001) face and
147     compressed along the other two faces. There is typically a small
148     distortion of proton ordered Ice-{\it i}$^\prime$ that converts the
149     normally square tetramer into a rhombus with alternating approximately
150     85 and 95 degree angles. The degree of this distortion is model
151     dependent and significant enough to split the tetramer diagonal
152     location peak in the radial distribution function.
153    
154     \section{Methods}
155    
156     Canonical ensemble (NVT) molecular dynamics calculations were
157     performed using the OOPSE molecular mechanics package.\cite{Meineke05}
158     All molecules were treated as rigid bodies, with orientational motion
159     propagated using the symplectic DLM integration method. Details about
160     the implementation of this technique can be found in a recent
161     publication.\cite{Dullweber1997}
162    
163     Thermodynamic integration is an established technique for
164     determination of free energies of condensed phases of
165     materials.\cite{Frenkel84,Hermens88,Meijer90,Baez95a,Vlot99}. This
166     method, implemented in the same manner illustrated by B\`{a}ez and
167     Clancy, was utilized to calculate the free energy of several ice
168     crystals at 200 K using the TIP3P, TIP4P, TIP5P, SPC/E, SSD/RF, and
169     SSD/E water models.\cite{Baez95a} Liquid state free energies at 300
170     and 400 K for all of these water models were also determined using
171     this same technique in order to determine melting points and to
172     generate phase diagrams. All simulations were carried out at
173     densities which correspond to a pressure of approximately 1 atm at
174     their respective temperatures.
175    
176     Thermodynamic integration involves a sequence of simulations during
177     which the system of interest is converted into a reference system for
178     which the free energy is known analytically. This transformation path
179     is then integrated in order to determine the free energy difference
180     between the two states:
181     \begin{equation}
182     \Delta A = \int_0^1\left\langle\frac{\partial V(\lambda
183     )}{\partial\lambda}\right\rangle_\lambda d\lambda,
184     \end{equation}
185     where $V$ is the interaction potential and $\lambda$ is the
186     transformation parameter that scales the overall potential.
187     Simulations are distributed strategically along this path in order to
188     sufficiently sample the regions of greatest change in the potential.
189     Typical integrations in this study consisted of $\sim$25 simulations
190     ranging from 300 ps (for the unaltered system) to 75 ps (near the
191     reference state) in length.
192    
193     For the thermodynamic integration of molecular crystals, the Einstein
194     crystal was chosen as the reference system. In an Einstein crystal,
195     the molecules are restrained at their ideal lattice locations and
196     orientations. Using harmonic restraints, as applied by B\`{a}ez and
197     Clancy, the total potential for this reference crystal
198     ($V_\mathrm{EC}$) is the sum of all the harmonic restraints,
199     \begin{equation}
200     V_\mathrm{EC} = \frac{K_\mathrm{v}r^2}{2} + \frac{K_\theta\theta^2}{2} +
201     \frac{K_\omega\omega^2}{2},
202     \end{equation}
203     where $K_\mathrm{v}$, $K_\mathrm{\theta}$, and $K_\mathrm{\omega}$ are
204     the spring constants restraining translational motion and deflection
205     of and rotation around the principle axis of the molecule
206     respectively. These spring constants are typically calculated from
207     the mean-square displacements of water molecules in an unrestrained
208     ice crystal at 200 K. For these studies, $K_\mathrm{r} = 4.29$ kcal
209     mol$^{-1}$, $K_\theta\ = 13.88$ kcal mol$^{-1}$, and $K_\omega\ =
210     17.75$ kcal mol$^{-1}$. It is clear from Fig. \ref{waterSpring} that
211     the values of $\theta$ range from $0$ to $\pi$, while $\omega$ ranges
212     from $-\pi$ to $\pi$. The partition function for a molecular crystal
213     restrained in this fashion can be evaluated analytically, and the
214     Helmholtz Free Energy ({\it A}) is given by
215     \begin{eqnarray}
216     A = E_m\ -\ kT\ln \left (\frac{kT}{h\nu}\right )^3&-&kT\ln \left
217     [\pi^\frac{1}{2}\left (\frac{8\pi^2I_\mathrm{A}kT}{h^2}\right
218     )^\frac{1}{2}\left (\frac{8\pi^2I_\mathrm{B}kT}{h^2}\right
219     )^\frac{1}{2}\left (\frac{8\pi^2I_\mathrm{C}kT}{h^2}\right
220     )^\frac{1}{2}\right ] \nonumber \\ &-& kT\ln \left [\frac{kT}{2(\pi
221     K_\omega K_\theta)^{\frac{1}{2}}}\exp\left
222     (-\frac{kT}{2K_\theta}\right)\int_0^{\left (\frac{kT}{2K_\theta}\right
223     )^\frac{1}{2}}\exp(t^2)\mathrm{d}t\right ],
224     \label{ecFreeEnergy}
225     \end{eqnarray}
226     where $2\pi\nu = (K_\mathrm{v}/m)^{1/2}$, and $E_m$ is the minimum
227     potential energy of the ideal crystal.\cite{Baez95a}
228    
229     \begin{figure}
230     \includegraphics[width=\linewidth]{rotSpring.eps}
231     \caption{Possible orientational motions for a restrained molecule.
232     $\theta$ angles correspond to displacement from the body-frame {\it
233     z}-axis, while $\omega$ angles correspond to rotation about the
234     body-frame {\it z}-axis. $K_\theta$ and $K_\omega$ are spring
235     constants for the harmonic springs restraining motion in the $\theta$
236     and $\omega$ directions.}
237     \label{waterSpring}
238     \end{figure}
239    
240     In the case of molecular liquids, the ideal vapor is chosen as the
241     target reference state. There are several examples of liquid state
242     free energy calculations of water models present in the
243     literature.\cite{Hermens88,Quintana92,Mezei92,Baez95b} These methods
244     typically differ in regard to the path taken for switching off the
245     interaction potential to convert the system to an ideal gas of water
246     molecules. In this study, we applied of one of the most convenient
247     methods and integrated over the $\lambda^4$ path, where all
248     interaction parameters are scaled equally by this transformation
249     parameter. This method has been shown to be reversible and provide
250     results in excellent agreement with other established
251     methods.\cite{Baez95b}
252    
253     Charge, dipole, and Lennard-Jones interactions were modified by a
254     cubic switching between 100\% and 85\% of the cutoff value (9 \AA).
255     By applying this function, these interactions are smoothly truncated,
256     thereby avoiding the poor energy conservation which results from
257     harsher truncation schemes. The effect of a long-range correction was
258     also investigated on select model systems in a variety of manners.
259     For the SSD/RF model, a reaction field with a fixed dielectric
260     constant of 80 was applied in all simulations.\cite{Onsager36} For a
261     series of the least computationally expensive models (SSD/E, SSD/RF,
262     and TIP3P), simulations were performed with longer cutoffs of 12 and
263     15 \AA\ to compare with the 9 \AA\ cutoff results. Finally, the
264     effects of utilizing an Ewald summation were estimated for TIP3P and
265     SPC/E by performing single configuration calculations with
266     Particle-Mesh Ewald (PME) in the TINKER molecular mechanics software
267     package.\cite{Tinker} The calculated energy difference in the presence
268     and absence of PME was applied to the previous results in order to
269     predict changes to the free energy landscape.
270    
271     \section{Results and discussion}
272    
273     The free energy of proton-ordered Ice-{\it i} was calculated and
274     compared with the free energies of proton ordered variants of the
275     experimentally observed low-density ice polymorphs, $I_h$ and $I_c$,
276     as well as the higher density ice B, observed by B\`{a}ez and Clancy
277     and thought to be the minimum free energy structure for the SPC/E
278     model at ambient conditions (Table \ref{freeEnergy}).\cite{Baez95b}
279     Ice XI, the experimentally-observed proton-ordered variant of ice
280     $I_h$, was investigated initially, but was found to be not as stable
281     as proton disordered or antiferroelectric variants of ice $I_h$. The
282     proton ordered variant of ice $I_h$ used here is a simple
283     antiferroelectric version that we devised, and it has an 8 molecule
284     unit cell similar to other predicted antiferroelectric $I_h$
285     crystals.\cite{Davidson84} The crystals contained 648 or 1728
286     molecules for ice B, 1024 or 1280 molecules for ice $I_h$, 1000
287     molecules for ice $I_c$, or 1024 molecules for Ice-{\it i}. The
288     larger crystal sizes were necessary for simulations involving larger
289     cutoff values.
290    
291     \begin{table*}
292     \begin{minipage}{\linewidth}
293     \begin{center}
294    
295     \caption{Calculated free energies for several ice polymorphs with a
296     variety of common water models. All calculations used a cutoff radius
297     of 9.0 \AA\ and were performed at 200 K and $\sim$1 atm. Units are
298     kcal/mol. Calculated error of the final digits is in parentheses.}
299    
300     \begin{tabular}{lccccc}
301     \hline
302     Water Model & $I_h$ & $I_c$ & B & Ice-{\it i} & Ice-{\it i}$^\prime$\\
303     \hline
304     TIP3P & -11.41(2) & -11.23(3) & -11.82(3) & -12.30(3) & -\\
305     TIP4P & -11.84(3) & -12.04(2) & -12.08(3) & - & -12.33(3)\\
306     TIP5P & -11.85(3) & -11.86(2) & -11.96(2) & - & -12.29(2)\\
307     SPC/E & -12.87(2) & -13.05(2) & -13.26(3) & - & -13.55(2)\\
308     SSD/E & -11.27(2) & -11.19(4) & -12.09(2) & -12.54(2) & -\\
309     SSD/RF & -11.51(2) & -11.47(2) & -12.08(3) & -12.29(2) & -\\
310     \end{tabular}
311     \label{freeEnergy}
312     \end{center}
313     \end{minipage}
314     \end{table*}
315    
316     The free energy values computed for the studied polymorphs indicate
317     that Ice-{\it i} is the most stable state for all of the common water
318     models studied. With the calculated free energy at these state
319     points, the Gibbs-Helmholtz equation was used to project to other
320     state points and to build phase diagrams. Figures \ref{tp3phasedia}
321     and \ref{ssdrfphasedia} are example diagrams built from the free
322     energy results. All other models have similar structure, although the
323     crossing points between the phases move to slightly different
324     temperatures and pressures. It is interesting to note that ice $I$
325     does not exist in either cubic or hexagonal form in any of the phase
326     diagrams for any of the models. For purposes of this study, ice B is
327     representative of the dense ice polymorphs. A recent study by Sanz
328     {\it et al.} goes into detail on the phase diagrams for SPC/E and
329     TIP4P at higher pressures than those studied here.\cite{Sanz04}
330    
331     \begin{figure}
332     \includegraphics[width=\linewidth]{tp3PhaseDia.eps}
333     \caption{Phase diagram for the TIP3P water model in the low pressure
334     regime. The displayed $T_m$ and $T_b$ values are good predictions of
335     the experimental values; however, the solid phases shown are not the
336     experimentally observed forms. Both cubic and hexagonal ice $I$ are
337     higher in energy and don't appear in the phase diagram.}
338     \label{tp3phasedia}
339     \end{figure}
340    
341     \begin{figure}
342     \includegraphics[width=\linewidth]{ssdrfPhaseDia.eps}
343     \caption{Phase diagram for the SSD/RF water model in the low pressure
344     regime. Calculations producing these results were done under an
345     applied reaction field. It is interesting to note that this
346     computationally efficient model (over 3 times more efficient than
347     TIP3P) exhibits phase behavior similar to the less computationally
348     conservative charge based models.}
349     \label{ssdrfphasedia}
350     \end{figure}
351    
352     \begin{table*}
353     \begin{minipage}{\linewidth}
354     \begin{center}
355    
356     \caption{Melting ($T_m$), boiling ($T_b$), and sublimation ($T_s$)
357     temperatures at 1 atm for several common water models compared with
358     experiment. The $T_m$ and $T_s$ values from simulation correspond to
359     a transition between Ice-{\it i} (or Ice-{\it i}$^\prime$) and the
360     liquid or gas state.}
361    
362     \begin{tabular}{lccccccc}
363     \hline
364     Equilibrium Point & TIP3P & TIP4P & TIP5P & SPC/E & SSD/E & SSD/RF & Exp.\\
365     \hline
366     $T_m$ (K) & 269(4) & 266(5) & 271(4) & 296(3) & - & 278(4) & 273\\
367     $T_b$ (K) & 357(2) & 354(2) & 337(2) & 396(2) & - & 348(2) & 373\\
368     $T_s$ (K) & - & - & - & - & 355(2) & - & -\\
369     \end{tabular}
370     \label{meltandboil}
371     \end{center}
372     \end{minipage}
373     \end{table*}
374    
375     Table \ref{meltandboil} lists the melting and boiling temperatures
376     calculated from this work. Surprisingly, most of these models have
377     melting points that compare quite favorably with experiment. The
378     unfortunate aspect of this result is that this phase change occurs
379     between Ice-{\it i} and the liquid state rather than ice $I_h$ and the
380     liquid state. These results are actually not contrary to other
381     studies. Studies of ice $I_h$ using TIP4P predict a $T_m$ ranging
382     from 214 to 238 K (differences being attributed to choice of
383     interaction truncation and different ordered and disordered molecular
384     arrangements).\cite{Vlot99,Gao00,Sanz04} If the presence of ice B and
385     Ice-{\it i} were omitted, a $T_m$ value around 210 K would be
386     predicted from this work. However, the $T_m$ from Ice-{\it i} is
387     calculated to be 265 K, indicating that these simulation based
388     structures ought to be included in studies probing phase transitions
389     with this model. Also of interest in these results is that SSD/E does
390     not exhibit a melting point at 1 atm, but it shows a sublimation point
391     at 355 K. This is due to the significant stability of Ice-{\it i}
392     over all other polymorphs for this particular model under these
393     conditions. While troubling, this behavior resulted in spontaneous
394     crystallization of Ice-{\it i} and led us to investigate this
395     structure. These observations provide a warning that simulations of
396     SSD/E as a ``liquid'' near 300 K are actually metastable and run the
397     risk of spontaneous crystallization. However, this risk lessens when
398     applying a longer cutoff.
399    
400     \begin{figure}
401     \includegraphics[width=\linewidth]{cutoffChange.eps}
402     \caption{Free energy as a function of cutoff radius for SSD/E, TIP3P,
403     SPC/E, SSD/RF with a reaction field, and the TIP3P and SPC/E models
404     with an added Ewald correction term. Calculations performed without a
405     long-range correction show noticable free energy dependence on the
406     cutoff radius and show some degree of converge at large cutoff radii.
407     Inclusion of a long-range correction reduces the cutoff radius
408     dependence of the free energy for all the models. Error for the
409     larger cutoff points is equivalent to that observed at 9.0 \AA\ (see
410     Table \ref{freeEnergy}). Data for ice I$_c$ with TIP3P using both 12
411     and 13.5 \AA\ cutoffs were omitted because the crystal was prone to
412     distortion and melting at 200 K. Ice-{\it i}$^\prime$ is the form of
413     Ice-{\it i} used in the SPC/E simulations.}
414     \label{incCutoff}
415     \end{figure}
416    
417     Increasing the cutoff radius in simulations of the more
418     computationally efficient water models was done in order to evaluate
419     the trend in free energy values when moving to systems that do not
420     involve potential truncation. As seen in Fig. \ref{incCutoff}, the
421     free energy of the ice polymorphs with water models lacking a
422     long-range correction show a significant cutoff radius dependence. In
423     general, there is a narrowing of the free energy differences while
424     moving to greater cutoff radii. As the free energies for the
425     polymorphs converge, the stability advantage that Ice-{\it i} exhibits
426     is reduced. Interestingly, increasing the cutoff radius a mere 1.5
427     \AA\ with the SSD/E model destabilizes the Ice-{\it i} polymorph
428     enough that the liquid state is preferred under standard simulation
429     conditions (298 K and 1 atm). Thus, it is recommended that
430     simulations using this model choose interaction truncation radii
431     greater than 9 \AA. Considering the stabilization of Ice-{\it i} with
432     smaller cutoffs, it is not surprising that crystallization was
433     observed with SSD/E. The choice of a 9 \AA\ cutoff in the previous
434     simulations gives the Ice-{\it i} polymorph a greater than 1 kcal/mol
435     lower free energy than the ice $I_\textrm{h}$ starting configurations.
436     Additionally, it should be noted that ice $I_c$ is not stable with
437     cutoff radii of 12 and 13.5 \AA\ using the TIP3P water model. These
438     simulations showed bulk distortions of the simulation cell that
439     rapidly deteriorated crystal integrity.
440    
441     Adjacent to each of these model plots is a system with an applied or
442     estimated long-range correction. SSD/RF was parametrized for use with
443     a reaction field, and the benefit provided by this computationally
444     inexpensive correction is apparent. Due to the relative independence
445     of the resultant free energies, calculations performed with a small
446     cutoff radius provide resultant properties similar to what one would
447     expect for the bulk material. In the cases of TIP3P and SPC/E, the
448     effect of an Ewald summation was estimated by applying the potential
449     energy difference do to its inclusion in systems in the presence and
450     absence of the correction. This was accomplished by calculation of
451     the potential energy of identical crystals both with and without
452     particle mesh Ewald (PME). Similar behavior to that observed with
453     reaction field is seen for both of these models. The free energies
454     show less dependence on cutoff radius and span a more narrowed range
455     for the various polymorphs. Like the dipolar water models, TIP3P
456     displays a relatively constant preference for the Ice-{\it i}
457     polymorph. Crystal preference is much more difficult to determine for
458     SPC/E. Without a long-range correction, each of the polymorphs
459     studied assumes the role of the preferred polymorph under different
460     cutoff conditions. The inclusion of the Ewald correction flattens and
461     narrows the sequences of free energies so much that they often overlap
462     within error, indicating that other conditions, such as cell volume in
463     microcanonical simulations, can influence the chosen polymorph upon
464     crystallization. All of these results support the finding that the
465     Ice-{\it i} polymorph is a stable crystal structure that should be
466     considered when studying the phase behavior of water models.
467    
468     \section{Conclusions}
469    
470     The free energy for proton ordered variants of hexagonal and cubic ice
471     $I$, ice B, and our recently discovered Ice-{\it i} structure were
472     calculated under standard conditions for several common water models
473     via thermodynamic integration. All the water models studied show
474     Ice-{\it i} to be the minimum free energy crystal structure with a 9
475     \AA\ switching function cutoff. Calculated melting and boiling points
476     show surprisingly good agreement with the experimental values;
477     however, the solid phase at 1 atm is Ice-{\it i}, not ice $I_h$. The
478     effect of interaction truncation was investigated through variation of
479     the cutoff radius, use of a reaction field parameterized model, and
480     estimation of the results in the presence of the Ewald summation.
481     Interaction truncation has a significant effect on the computed free
482     energy values, and may significantly alter the free energy landscape
483     for the more complex multipoint water models. Despite these effects,
484     these results show Ice-{\it i} to be an important ice polymorph that
485     should be considered in simulation studies.
486    
487     Due to this relative stability of Ice-{\it i} in all of the
488     investigated simulation conditions, the question arises as to possible
489     experimental observation of this polymorph. The rather extensive past
490     and current experimental investigation of water in the low pressure
491     regime makes us hesitant to ascribe any relevance of this work outside
492     of the simulation community. It is for this reason that we chose a
493     name for this polymorph which involves an imaginary quantity. That
494     said, there are certain experimental conditions that would provide the
495     most ideal situation for possible observation. These include the
496     negative pressure or stretched solid regime, small clusters in vacuum
497     deposition environments, and in clathrate structures involving small
498     non-polar molecules. Figs. \ref{fig:gofr} and \ref{fig:sofq} contain
499     our predictions for both the pair distribution function ($g_{OO}(r)$)
500     and the structure factor ($S(\vec{q})$ for ice $I_h$, $I_c$, and for
501     ice-{\it i} at a temperature of 77K. In studies of the high and low
502     density forms of amorphous ice, ``spurious'' diffraction peaks have
503     been observed experimentally.\cite{Bizid87} It is possible that a
504     variant of Ice-{\it i} could explain some of this behavior; however,
505     we will leave it to our experimental colleagues to make the final
506     determination on whether this ice polymorph is named appropriately
507     (i.e. with an imaginary number) or if it can be promoted to Ice-0.
508    
509     \begin{figure}
510     \includegraphics[width=\linewidth]{iceGofr.eps}
511     \caption{Radial distribution functions of ice $I_h$, $I_c$,
512     Ice-{\it i}, and Ice-{\it i}$^\prime$ calculated from from simulations
513     of the SSD/RF water model at 77 K.}
514     \label{fig:gofr}
515     \end{figure}
516    
517     \begin{figure}
518     \includegraphics[width=\linewidth]{sofq.eps}
519     \caption{Predicted structure factors for ice $I_h$, $I_c$, Ice-{\it i},
520     and Ice-{\it i}$^\prime$ at 77 K. The raw structure factors have
521     been convoluted with a gaussian instrument function (0.075 \AA$^{-1}$
522     width) to compensate for the trunction effects in our finite size
523     simulations.}
524     \label{fig:sofq}
525     \end{figure}
526    
527     \section{Acknowledgments}
528     Support for this project was provided by the National Science
529     Foundation under grant CHE-0134881. Computation time was provided by
530     the Notre Dame High Performance Computing Cluster and the Notre Dame
531     Bunch-of-Boxes (B.o.B) computer cluster (NSF grant DMR-0079647).
532    
533     \newpage
534    
535     \bibliographystyle{jcp}
536     \bibliography{iceiPaper}
537    
538    
539     \end{document}