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Revision 4028 by gezelter, Tue Feb 18 21:26:04 2014 UTC vs.
Revision 4029 by gezelter, Tue Feb 18 21:48:35 2014 UTC

# Line 220 | Line 220 | where $r_e= 1.157437$ \AA , $D_e = 212.95 \mathrm{~kca
220   V(r_\ce{CN}) = D_e \left(1 - e^{-\beta (r_\ce{CN}-r_e)}\right)^2
221   \end{displaymath}
222   where $r_e= 1.157437$ \AA , $D_e = 212.95 \mathrm{~kca~l} /
223 < \mathrm{mol}^{-1}$ and $\beta = 2.67566 $\AA~$^{-1}$, corresponding to a
224 < vibrational frequency of $2375 \mathrm{~cm}^{-1}$, a
225 < bit higher than the experimental frequency.  The flexible nitrile
226 < moiety required simulation time steps of 1~fs, so the additional
227 < flexibility was introducuced only after the rigid systems had come to
228 < equilibrium under the applied fields.  Whenever time correlation
229 < functions were computed from the flexible simulations,
223 > \mathrm{mol}^{-1}$ and $\beta = 2.67566 $\AA~$^{-1}$.  These
224 > parameters correspond to a vibrational frequency of $2375
225 > \mathrm{~cm}^{-1}$, a bit higher than the experimental frequency. The
226 > flexible nitrile moiety required simulation time steps of 1~fs, so the
227 > additional flexibility was introducuced only after the rigid systems
228 > had come to equilibrium under the applied fields.  Whenever time
229 > correlation functions were computed from the flexible simulations,
230   statistically-independent configurations were sampled from the last ns
231   of the induced-field runs.  These configurations were then
232   equilibrated with the flexible nitrile moiety for 100 ps, and time
# Line 254 | Line 254 | nematic phases, typical values for $S$ are close to 0.
254   defined a vector using only the rigid core of the molecule.  In
255   nematic phases, typical values for $S$ are close to 0.5.
256  
257 < In Figure \ref{fig:orderParameter}, the field-induced phase change can
258 < be clearly seen over the course of a 60 ns equilibration run. All
257 > The field-induced phase transition can be clearly seen over the course
258 > of a 60 ns equilibration runs in figure \ref{fig:orderParameter}.  All
259   three of the systems started in a random (isotropic) packing, with
260   order parameters near 0.2. Over the course 10 ns, the full field
261   causes an alignment of the molecules (due primarily to the interaction
262   of the nitrile group dipole with the electric field).  Once this
263 < system landed in the nematic-ordered state, it became stable for the
264 < remaining 50 ns of simulation time.  It is possible that the
265 < partial-field simulation is meta-stable and given enough time, it
266 < would eventually find a nematic-ordered phase, but the partial-field
267 < simulation was stable as an isotropic phase for the full duration of a
268 < 60 ns simulation.
263 > system started exhibiting nematic ordering, the orientational order
264 > parameter became stable for the remaining 50 ns of simulation time.
265 > It is possible that the partial-field simulation is meta-stable and
266 > given enough time, it would eventually find a nematic-ordered phase,
267 > but the partial-field simulation was stable as an isotropic phase for
268 > the full duration of a 60 ns simulation.
269   \begin{figure}
270 <  \includegraphics[trim = 5mm 10mm 3mm 10mm, clip, width=3.25in]{P2}
271 <  \caption{Ordering of each external field application over the course
272 <    of 60 ns with a sampling every 100 ps. Each trajectory was started
273 <    after equilibration with zero field applied.}
270 >  \includegraphics[trim = 5mm 10mm 3mm 10mm, clip, width=4in]{P2}
271 >  \caption{Evolution of the orientational order parameter for the
272 >    no-field, partial field, and full field simulations over the
273 >    course of 60 ns. Each simulation was started from a
274 >    statistically-independent isotropic configuration.}
275    \label{fig:orderParameter}
276   \end{figure}
277  
278 < In figure \ref{fig:Cigars}, the field-induced isotropic-nematic
279 < transition is represented using ellipsoids aligned along the long-axis
280 < of each molecule.  The vector between the nitrogen of the nitrile
281 < group and the terminal tail atom is used to orient each
282 < ellipsoid.  Both the zero field and partial field simulations appear
282 < isotropic, while the full field simulations has clearly been
283 < orientationally ordered
278 > The field-induced isotropic-nematic transition can be visualized in
279 > figure \ref{fig:Cigars}, where each molecule has been represented
280 > using and ellipsoids aligned along the long-axis of each molecule.
281 > Both the zero field and partial field simulations appear isotropic,
282 > while the full field simulations has been orientationally ordered
283   \begin{figure}
284    \includegraphics[width=7in]{Elip_3}
285 <  \caption{Ellipsoid reprsentation of 5CB at three different
286 <    field strengths, Zero Field (Left), Partial Field (Middle), and Full
287 <    Field (Right) Each image was created by taking the final
288 <    snapshot of each 60 ns run}
285 >  \caption{Ellipsoid reprsentation of 5CB at three different field
286 >    strengths, Zero Field (Left), Partial Field (Middle), and Full
287 >    Field (Right) Each image was created from the final configuration
288 >    of each 60 ns equilibration run.}
289    \label{fig:Cigars}
290   \end{figure}
291  
292 < \section{Analysis}
292 > \section{Sampling the CN bond frequency}
293  
294 + The primary quantity of interest is the distribution of vibrational
295 + frequencies exhibited by the 5CB nitrile bond under the different
296 + electric fields. Three distinct methods for mapping classical
297 + simulations onto vibrational spectra were brought to bear on these
298 + simulations:
299 + \begin{enumerate}
300 + \item Isolated 5CB molecules and their immediate surroundings were
301 +  extracted from the simulations, their nitrile bonds were stretched
302 +  and single-point {\em ab initio} calculations were used to obtain
303 +  Morse-oscillator fits for the local vibrational motion along that
304 +  bond.
305 + \item The potential - frequency maps developed by Cho {\it et
306 +    al.}~\cite{Oh:2008fk} for nitrile moieties in water were
307 +  investigated.  This method involves mapping the electrostatic
308 +  potential around the bond to the vibrational frequency, and is
309 +  similar in approach to field-frequency maps that were pioneered by
310 +  work done by Skinner {\it et al.}\cite{XXXX}
311 + \item Classical bond-length autocorrelation functions were Fourier
312 +  transformed to directly obtain the vibrational spectrum from
313 +  molecular dynamics simulations.
314 + \end{enumerate}
315 +
316 + \subsection{CN frequencies from isolated clusters}
317 +
318   For quantum calculation of the nitrile bond frequency, Gaussian 09 was
319   used. A single 5CB molecule was selected for the center of the
320   cluster. For effects from molecules located near the chosen nitrile
# Line 315 | Line 338 | frequencies were used.
338   field spectrum, 67 frequencies were used and for the full field, 59
339   frequencies were used.
340  
341 + \subsection{CN frequencies from potential-frequency maps}
342 + Before Gaussian silumations were carried out, it was attempt to apply
343 + the method developed by Cho  {\it et al.}~\cite{Oh:2008fk} This method involves the fitting
344 + of multiple parameters to Gaussian calculated freuencies to find a
345 + correlation between the potential around the bond and the
346 + frequency. This is very similar to work done by Skinner  {\it et al.}~with
347 + water models like SPC/E. The general method is to find the shift in
348 + the peak position through,
349 + \begin{equation}
350 + \delta\tilde{\nu} =\sum^{n}_{a=1} l_{a}\phi^{water}_{a}
351 + \end{equation}
352 + where $l_{a}$ are the fitting parameters and $\phi^{water}_{a}$ is the
353 + potential from the surrounding water cluster. This $\phi^{water}_{a}$
354 + takes the form,
355 + \begin{equation}
356 + \phi_{a} = \frac{1}{4\pi \epsilon_{0}} \sum_{m} \sum_{j}
357 + \frac{C^{H_{2}O}_{j \left(m \right) }}{r_{aj \left(m\right)}}
358 + \end{equation}
359 + where $C^{H_{2}O}_{j \left(m \right) }$ indicates the partial charge
360 + on the $j$th site of the $m$th water molecule and $r_{aj \left(m\right)}$
361 + is the distance between the site $a$ of the nitrile molecule and the $j$th
362 + site of the $m$th water molecule. However, since these simulations
363 + are done under the presence of external fields and in the
364 + absence of water, the equations need a correction factor for the shift
365 + caused by the external field. The equation is also reworked to use
366 + electric field site data instead of partial charges from surrounding
367 + atoms. So by modifing the original
368 + $\phi^{water}_{a}$ to $\phi^{5CB}_{a}$ we get,
369 + \begin{equation}
370 + \phi^{5CB}_{a} = \frac{1}{4\pi \epsilon_{0}} \left( \vec{E}\bullet
371 +  \left(\vec{r}_{a}-\vec{r}_{CN}\right) \right) + \phi^{5CB}_{0}
372 + \end{equation}
373 + where $\vec{E}$ is the electric field at each atom, $\left( \vec{r}_{a} -
374 +  \vec{r}_{CN} \right)$ is the vector between the nitrile bond and the
375 + cooridinates described by Cho around the bond and $\phi^{5CB}_{0}$ is
376 + the correction factor for the system of parameters. After these
377 + changes, the correction factor was found for multiple values of an
378 + external field being applied. However, the factor was no linear and
379 + was overly large due to the fitting parameters being so small.
380 +
381 +
382 + \subsection{CN frequencies from bond length autocorrelation functions}
383 +
384   Classical nitrile bond frequencies were found by replacing the rigid
385   cyanide bond with a flexible Morse oscillator bond
386   ($r_0= 1.157437$ \AA , $D_0 = 212.95$ and
# Line 337 | Line 403 | switched back to a Morse oscillator and a short produc
403   with a rigid bond followed by an equilibrium run with the bond
404   switched back to a Morse oscillator and a short production run of 20 ps.
405  
340 \section{Results}
406  
407   This change in phase was followed by two courses of further
408   analysis. First was the replacement of the static nitrile bond with a
# Line 366 | Line 431 | cm\textsuperscript{-1}.
431    \label{fig:twoSpectra}
432   \end{figure}
433  
369 Before Gaussian silumations were carried out, it was attempt to apply
370 the method developed by Cho  {\it et al.}~\cite{Oh:2008fk} This method involves the fitting
371 of multiple parameters to Gaussian calculated freuencies to find a
372 correlation between the potential around the bond and the
373 frequency. This is very similar to work done by Skinner  {\it et al.}~with
374 water models like SPC/E. The general method is to find the shift in
375 the peak position through,
376 \begin{equation}
377 \delta\tilde{\nu} =\sum^{n}_{a=1} l_{a}\phi^{water}_{a}
378 \end{equation}
379 where $l_{a}$ are the fitting parameters and $\phi^{water}_{a}$ is the
380 potential from the surrounding water cluster. This $\phi^{water}_{a}$
381 takes the form,
382 \begin{equation}
383 \phi_{a} = \frac{1}{4\pi \epsilon_{0}} \sum_{m} \sum_{j}
384 \frac{C^{H_{2}O}_{j \left(m \right) }}{r_{aj \left(m\right)}}
385 \end{equation}
386 where $C^{H_{2}O}_{j \left(m \right) }$ indicates the partial charge
387 on the $j$th site of the $m$th water molecule and $r_{aj \left(m\right)}$
388 is the distance between the site $a$ of the nitrile molecule and the $j$th
389 site of the $m$th water molecule. However, since these simulations
390 are done under the presence of external fields and in the
391 absence of water, the equations need a correction factor for the shift
392 caused by the external field. The equation is also reworked to use
393 electric field site data instead of partial charges from surrounding
394 atoms. So by modifing the original
395 $\phi^{water}_{a}$ to $\phi^{5CB}_{a}$ we get,
396 \begin{equation}
397 \phi^{5CB}_{a} = \frac{1}{4\pi \epsilon_{0}} \left( \vec{E}\bullet
398  \left(\vec{r}_{a}-\vec{r}_{CN}\right) \right) + \phi^{5CB}_{0}
399 \end{equation}
400 where $\vec{E}$ is the electric field at each atom, $\left( \vec{r}_{a} -
401  \vec{r}_{CN} \right)$ is the vector between the nitrile bond and the
402 cooridinates described by Cho around the bond and $\phi^{5CB}_{0}$ is
403 the correction factor for the system of parameters. After these
404 changes, the correction factor was found for multiple values of an
405 external field being applied. However, the factor was no linear and
406 was overly large due to the fitting parameters being so small.
434  
435   Due to this, Gaussian calculations were performed in lieu of this
436   method. A set of snapshots for the zero and full field simualtions,

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