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Revision 933 by chuckv, Tue Jan 13 20:03:21 2004 UTC vs.
Revision 961 by chrisfen, Mon Jan 19 17:24:52 2004 UTC

# Line 18 | Line 18 | As stated previously, one of the features that sets {\
18   responsible for the evaluation of its own bonded interaction
19   (i.e.~bonds, bends, and torsions).
20  
21 < As stated previously, one of the features that sets {\sc OOPSE} apart
21 > As stated previously, one of the features that sets {\sc oopse} apart
22   from most of the current molecular simulation packages is the ability
23   to handle rigid body dynamics. Rigid bodies are non-spherical
24   particles or collections of particles that have a constant internal
25   potential and move collectively.\cite{Goldstein01} They are not
26 < included in most simulation packages because of the need to
27 < consider orientational degrees of freedom and include an integrator
28 < that accurately propagates these motions in time.
26 > included in most simulation packages because of the requirement to
27 > propagate the orientational degrees of freedom. Until recently,
28 > integrators which propagate orientational motion have been lacking.
29  
30   Moving a rigid body involves determination of both the force and
31   torque applied by the surroundings, which directly affect the
32 < translation and rotation in turn. In order to accumulate the total
33 < force on a rigid body, the external forces must first be calculated
34 < for all the internal particles. The total force on the rigid body is
35 < simply the sum of these external forces.  Accumulation of the total
36 < torque on the rigid body is more complex than the force in that it is
37 < the torque applied on the center of mass that dictates rotational
38 < motion. The summation of this torque is given by
32 > translational and rotational motion in turn. In order to accumulate
33 > the total force on a rigid body, the external forces and torques must
34 > first be calculated for all the internal particles. The total force on
35 > the rigid body is simply the sum of these external forces.
36 > Accumulation of the total torque on the rigid body is more complex
37 > than the force in that it is the torque applied on the center of mass
38 > that dictates rotational motion. The torque on rigid body {\it i} is
39   \begin{equation}
40 < \mathbf{\tau}_i=
41 <        \sum_{a}(\mathbf{r}_{ia}-\mathbf{r}_i)\times \mathbf{f}_{ia},
40 > \boldsymbol{\tau}_i=
41 >        \sum_{a}(\mathbf{r}_{ia}-\mathbf{r}_i)\times \mathbf{f}_{ia}
42 >        + \boldsymbol{\tau}_{ia},
43   \label{eq:torqueAccumulate}
44   \end{equation}
45 < where $\mathbf{\tau}_i$ and $\mathbf{r}_i$ are the torque about and
46 < position of the center of mass respectively, while $\mathbf{f}_{ia}$
47 < and $\mathbf{r}_{ia}$ are the force on and position of the component
48 < particles of the rigid body.\cite{allen87:csl}
45 > where $\boldsymbol{\tau}_i$ and $\mathbf{r}_i$ are the torque on and
46 > position of the center of mass respectively, while $\mathbf{f}_{ia}$,
47 > $\mathbf{r}_{ia}$, and $\boldsymbol{\tau}_{ia}$ are the force on,
48 > position of, and torque on the component particles of the rigid body.
49  
50 < The application of the total torque is done in the body fixed axis of
50 > The summation of the total torque is done in the body fixed axis of
51   the rigid body. In order to move between the space fixed and body
52   fixed coordinate axes, parameters describing the orientation must be
53   maintained for each rigid body. At a minimum, the rotation matrix
54 < (\textbf{A}) can be described and propagated by the three Euler angles
55 < ($\phi, \theta, \text{and} \psi$), where \textbf{A} is composed of
54 > (\textbf{A}) can be described by the three Euler angles ($\phi,
55 > \theta,$ and $\psi$), where the elements of \textbf{A} are composed of
56   trigonometric operations involving $\phi, \theta,$ and
57 < $\psi$.\cite{Goldstein01} In order to avoid rotational limitations
57 > $\psi$.\cite{Goldstein01} In order to avoid numerical instabilities
58   inherent in using the Euler angles, the four parameter ``quaternion''
59 < scheme can be used instead, where \textbf{A} is composed of arithmetic
60 < operations involving the four components of a quaternion ($q_0, q_1,
61 < q_2, \text{and} q_3$).\cite{allen87:csl} Use of quaternions also leads
62 < to performance enhancements, particularly for very small
59 > scheme is often used. The elements of \textbf{A} can be expressed as
60 > arithmetic operations involving the four quaternions ($q_0, q_1, q_2,$
61 > and $q_3$).\cite{allen87:csl} Use of quaternions also leads to
62 > performance enhancements, particularly for very small
63   systems.\cite{Evans77}
64  
65 < {\sc OOPSE} utilizes a relatively new scheme that uses the entire nine
66 < parameter rotation matrix internally. Further discussion on this
67 < choice can be found in Sec.~\ref{sec:integrate}.
65 > {\sc oopse} utilizes a relatively new scheme that propagates the
66 > entire nine parameter rotation matrix internally. Further discussion
67 > on this choice can be found in Sec.~\ref{sec:integrate}.
68  
69   \subsection{\label{sec:LJPot}The Lennard Jones Potential}
70  
# Line 270 | Line 271 | in {\sc oopse} is the Soft Sticky Dipole (SSD) water m
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 331 | Line 333 | models.\cite{Ichiye96} What is most impressive is that
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 345 | Line 347 | is SSD/E, a density corrected derivative of SSD that e
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 396 | 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 428 | Line 433 | s_{i}^{\prime}=s_{i}-round(s_{i})
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  
446
447 For example, $round(3.6)=4$,$round(3.1)=3$, $round(-3.6)=-4$,
448 $round(-3.1)=-3$.
449
453   Finally, we obtain the minimum image coordinates by transforming back
454   to real space,%
455  

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