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Revision 935 by chrisfen, Tue Jan 13 20:10:23 2004 UTC vs.
Revision 961 by chrisfen, Mon Jan 19 17:24:52 2004 UTC

# Line 271 | Line 271 | In the interest of computational efficiency, the defau
271   \subsection{\label{sec:SSD}The {\sc DUFF} Water Models: SSD/E and SSD/RF}
272  
273   In the interest of computational efficiency, the default solvent used
274 < in {\sc oopse} is the Soft Sticky Dipole (SSD) water model. SSD was
275 < developed by Ichiye \emph{et al.} as a modified form of the
276 < hard-sphere water model proposed by Bratko, Blum, and
274 > by {\sc oopse} is the extended Soft Sticky Dipole (SSD/E) water
275 > model.\cite{Gezelter04} The original SSD was developed by Ichiye
276 > \emph{et al.}\cite{Ichiye96} as a modified form of the hard-sphere
277 > water model proposed by Bratko, Blum, and
278   Luzar.\cite{Bratko85,Bratko95} It consists of a single point dipole
279   with a Lennard-Jones core and a sticky potential that directs the
280   particles to assume the proper hydrogen bond orientation in the first
# Line 332 | Line 333 | SSD decreased computer time by a factor of 6-7 compare
333   {\it charged} multi-point models. In the original Monte Carlo
334   simulations using this model, Ichiye {\it et al.} reported that using
335   SSD decreased computer time by a factor of 6-7 compared to other
336 < models.\cite{Ichiye96} What is most impressive is that this savings
336 > models.\cite{Ichiye96} What is most impressive is that these savings
337   did not come at the expense of accurate depiction of the liquid state
338   properties.  Indeed, SSD maintains reasonable agreement with the Soper
339 < data for the structural features of liquid
339 > diffraction data for the structural features of liquid
340   water.\cite{Soper86,Ichiye96} Additionally, the dynamical properties
341   exhibited by SSD agree with experiment better than those of more
342   computationally expensive models (like TIP3P and
# Line 346 | Line 347 | pressures.\cite{Ichiye03,Gezelter04} The default model
347   Recent constant pressure simulations revealed issues in the original
348   SSD model that led to lower than expected densities at all target
349   pressures.\cite{Ichiye03,Gezelter04} The default model in {\sc oopse}
350 < is SSD/E, a density corrected derivative of SSD that exhibits improved
351 < liquid structure and transport behavior. If the use of a reaction
352 < field long-range interaction correction is desired, it is recommended
353 < that the parameters be modified to those of the SSD/RF model. Solvent
354 < parameters can be easily modified in an accompanying {\sc BASS} file
355 < as illustrated in the scheme below. A table of the parameter values
356 < and the drawbacks and benefits of the different density corrected SSD
357 < models can be found in reference \ref{Gezelter04}.
350 > is therefore SSD/E, a density corrected derivative of SSD that
351 > exhibits improved liquid structure and transport behavior. If the use
352 > of a reaction field long-range interaction correction is desired, it
353 > is recommended that the parameters be modified to those of the SSD/RF
354 > model. Solvent parameters can be easily modified in an accompanying
355 > {\sc BASS} file as illustrated in the scheme below. A table of the
356 > parameter values and the drawbacks and benefits of the different
357 > density corrected SSD models can be found in reference
358 > \ref{Gezelter04}.
359  
360   !!!Place a {\sc BASS} scheme showing SSD parameters around here!!!
361  
# Line 397 | Line 399 | interactions. Foiles et al. fit EAM potentials for fcc
399  
400  
401   \subsection{\label{Sec:pbc}Periodic Boundary Conditions}
402 +
403 + \newcommand{\roundme}{\operatorname{round}}
404  
405   \textit{Periodic boundary conditions} are widely used to simulate truly
406   macroscopic systems with a relatively small number of particles. The
# Line 429 | Line 433 | And then, each element of $\mathbf{s}$ is wrapped to l
433   \end{equation}
434   And then, each element of $\mathbf{s}$ is wrapped to lie between -0.5 to 0.5,
435   \begin{equation}
436 < s_{i}^{\prime}=s_{i}-round(s_{i})
436 > s_{i}^{\prime}=s_{i}-\roundme(s_{i})
437   \end{equation}
438   where
439  
440   %
441  
442   \begin{equation}
443 < round(x)=\left\{
444 < \begin{array}[c]{c}%
443 > \roundme(x)=\left\{
444 > \begin{array}{cc}
445   \lfloor{x+0.5}\rfloor & \text{if \ }x\geqslant0\\
446   \lceil{x-0.5}\rceil & \text{otherwise}%
447   \end{array}
448   \right.
449   \end{equation}
450 + For example, $\roundme(3.6)=4$, $\roundme(3.1)=3$, $\roundme(-3.6)=-4$,
451 + $\roundme(-3.1)=-3$.
452  
447
448 For example, $round(3.6)=4$,$round(3.1)=3$, $round(-3.6)=-4$,
449 $round(-3.1)=-3$.
450
453   Finally, we obtain the minimum image coordinates by transforming back
454   to real space,%
455  

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