ViewVC Help
View File | Revision Log | Show Annotations | View Changeset | Root Listing
root/group/trunk/oopsePaper/EmpericalEnergy.tex
(Generate patch)

Comparing trunk/oopsePaper/EmpericalEnergy.tex (file contents):
Revision 924 by mmeineke, Fri Jan 9 20:57:55 2004 UTC vs.
Revision 925 by chrisfen, Mon Jan 12 18:43:56 2004 UTC

# Line 12 | Line 12 | molecule. The molecule is a way for {\sc oopse} to kee
12   are not currently suporrted by {\sc oopse}.
13  
14   The second most basic building block of a simulation is the
15 < molecule. The molecule is a way for {\sc oopse} to keep track of the atoms
16 < in a simulation in logical manner. This particular unit will store the
17 < identities of all the atoms associated with itself and is responsible
18 < for the evaluation of its own bonded interaction (i.e.~bonds, bends,
19 < and torsions).
15 > molecule. The molecule is a way for {\sc oopse} to keep track of the
16 > atoms in a simulation in logical manner. This particular unit will
17 > store the identities of all the atoms associated with itself and is
18 > responsible for the evaluation of its own bonded interaction
19 > (i.e.~bonds, bends, and torsions).
20  
21 < As stated in the previously, one of the features that sets 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 many standard simulation packages because of the need to
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.
29  
# Line 31 | Line 31 | for all the interal particles. The total force on the
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 interal particles. The total force on the rigid body is
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 similar to the force in that it is a sum
37 < of the torque applied on each internal particle, mapped onto the
38 < center of mass of the rigid body.
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
39 > \begin{equation}
40 > \mathbf{\tau}_i=
41 >        \sum_{a}(\mathbf{r}_{ia}-\mathbf{r}_i)\times \mathbf{f}_{ia},
42 > \label{eq:torqueAccumulate}
43 > \end{equation}
44 > where $\mathbf{\tau}_i$ and $\mathbf{r}_i$ are the torque about and
45 > position of the center of mass respectively, while $\mathbf{f}_{ia}$
46 > and $\mathbf{r}_{ia}$ are the force on and position of the component
47 > particles of the rigid body.\cite{allen87:csl}
48  
49   The application of the total torque is done in the body fixed axis of
50   the rigid body. In order to move between the space fixed and body
51 < fixed coordinate axes, parameters describing the orientation be
52 < maintained for each rigid body. At a minimum, the rotation matrix can
53 < be described and propagated by the three Euler
54 < angles.\cite{Goldstein01} In order to avoid rotational limitations
55 < when using Euler angles, the four parameter ``quaternion'' scheme can
56 < be used instead.\cite{allen87:csl} Use of quaternions also leads to
57 < performance enhancements, particularly for very small
58 < systems.\cite{Evans77} OOPSE utilizes a relatively new scheme that
59 < propagates the entire nine parameter rotation matrix. Further
60 < discussion on this choice can be found in Sec.~\ref{sec:integrate}.
51 > fixed coordinate axes, parameters describing the orientation must be
52 > maintained for each rigid body. At a minimum, the rotation matrix
53 > (\textbf{A}) can be described and propagated by the three Euler angles
54 > ($\phi, \theta, \text{and} \psi$), where \textbf{A} is composed of
55 > trigonometric operations involving $\phi, \theta,$ and
56 > $\psi$.\cite{Goldstein01} In order to avoid rotational limitations
57 > inherent in using the Euler angles, the four parameter ``quaternion''
58 > scheme can be used instead, where \textbf{A} is composed of arithmetic
59 > operations involving the four components of a quaternion ($q_0, q_1,
60 > q_2, \text{and} q_3$).\cite{allen87:csl} Use of quaternions also leads
61 > to performance enhancements, particularly for very small
62 > systems.\cite{Evans77}
63  
64 + {\sc OOPSE} utilizes a relatively new scheme that uses the entire nine
65 + parameter rotation matrix internally. Further discussion on this
66 + choice can be found in Sec.~\ref{sec:integrate}.
67 +
68   \subsection{\label{sec:LJPot}The Lennard Jones Potential}
69  
70   The most basic force field implemented in OOPSE is the Lennard-Jones
# Line 263 | Line 278 | $i$ it takes its orientation from $\boldsymbol{\Omega}
278   $i$ it takes its orientation from $\boldsymbol{\Omega}_i$.
279  
280  
281 < \subsection{\label{sec:SSD}Water Model: SSD and Derivatives}
281 > \subsection{\label{sec:SSD}The {\sc DUFF} Water Models: SSD/E and SSD/RF}
282  
283 < In the interest of computational efficiency, the native solvent used
283 > In the interest of computational efficiency, the default solvent used
284   in {\sc oopse} is the Soft Sticky Dipole (SSD) water model. SSD was
285   developed by Ichiye \emph{et al.} as a modified form of the
286   hard-sphere water model proposed by Bratko, Blum, and
# Line 275 | Line 290 | u_{ij} = u_{ij}^{LJ} (r_{ij})\ + u_{ij}^{dp}
290   solvation shell. Thus, the interaction between two SSD water molecules
291   \emph{i} and \emph{j} is given by the potential
292   \begin{equation}
293 < u_{ij} = u_{ij}^{LJ} (r_{ij})\ + u_{ij}^{dp}
294 < (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)\ +
295 < u_{ij}^{sp}
296 < (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j),
293 > V_{ij} =
294 >        V_{ij}^{LJ} (r_{ij})\ + V_{ij}^{dp}
295 >        (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)\ +
296 >        V_{ij}^{sp}
297 >        (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j),
298 > \label{eq:ssdPot}
299   \end{equation}
300   where the $\mathbf{r}_{ij}$ is the position vector between molecules
301 < \emph{i} and \emph{j} with magnitude equal to the distance $r_ij$, and
301 > \emph{i} and \emph{j} with magnitude equal to the distance $r_{ij}$, and
302   $\boldsymbol{\Omega}_i$ and $\boldsymbol{\Omega}_j$ represent the
303 < orientations of the respective molecules. The Lennard-Jones, dipole,
304 < and sticky parts of the potential are giving by the following
305 < equations,
303 > orientations of the respective molecules. The Lennard-Jones and dipole
304 > parts of the potential are given by equations \ref{eq:lennardJonesPot}
305 > and \ref{eq:dipolePot} respectively. The sticky part is described by
306 > the following,
307   \begin{equation}
308 < u_{ij}^{LJ}(r_{ij}) = 4\epsilon \left[\left(\frac{\sigma}{r_{ij}}\right)^{12}-\left(\frac{\sigma}{r_{ij}}\right)^{6}\right],
308 > u_{ij}^{sp}(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)=
309 >        \frac{\nu_0}{2}[s(r_{ij})w(\mathbf{r}_{ij},
310 >        \boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j) +
311 >        s^\prime(r_{ij})w^\prime(\mathbf{r}_{ij},
312 >        \boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)]\ ,
313 > \label{eq:stickyPot}
314   \end{equation}
315 < \begin{equation}
316 < u_{ij}^{dp} = \frac{\boldsymbol{\mu}_i\cdot\boldsymbol{\mu}_j}{r_{ij}^3}-\frac{3(\boldsymbol{\mu}_i\cdot\mathbf{r}_{ij})(\boldsymbol{\mu}_j\cdot\mathbf{r}_{ij})}{r_{ij}^5}\ ,
317 < \end{equation}
315 > where $\nu_0$ is a strength parameter for the sticky potential, and
316 > $s$ and $s^\prime$ are cubic switching functions which turn off the
317 > sticky interaction beyond the first solvation shell. The $w$ function
318 > can be thought of as an attractive potential with tetrahedral
319 > geometry:
320   \begin{equation}
321 < \begin{split}
322 < u_{ij}^{sp}
323 < (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)
299 < &=
300 < \frac{\nu_0}{2}[s(r_{ij})w(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)\\
301 < & \quad \ +
302 < s^\prime(r_{ij})w^\prime(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)]\ ,
303 < \end{split}
321 > w({\bf r}_{ij},{\bf \Omega}_i,{\bf \Omega}_j)=
322 >        \sin\theta_{ij}\sin2\theta_{ij}\cos2\phi_{ij},
323 > \label{eq:stickyW}
324   \end{equation}
325 < where $\boldsymbol{\mu}_i$ and $\boldsymbol{\mu}_j$ are the dipole
326 < unit vectors of particles \emph{i} and \emph{j} with magnitude 2.35 D,
307 < $\nu_0$ scales the strength of the overall sticky potential, $s$ and
308 < $s^\prime$ are cubic switching functions. The $w$ and $w^\prime$
309 < functions take the following forms,
325 > while the $w^\prime$ function counters the normal aligned and
326 > anti-aligned structures favored by point dipoles:
327   \begin{equation}
328 < w(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)=\sin\theta_{ij}\sin2\theta_{ij}\cos2\phi_{ij},
328 > w^\prime({\bf r}_{ij},{\bf \Omega}_i,{\bf \Omega}_j)=
329 >        (\cos\theta_{ij}-0.6)^2(\cos\theta_{ij}+0.8)^2-w^0,
330 > \label{eq:stickyWprime}
331   \end{equation}
332 < \begin{equation}
333 < w^\prime(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j) = (\cos\theta_{ij}-0.6)^2(\cos\theta_{ij}+0.8)^2-w^0,
334 < \end{equation}
335 < where $w^0 = 0.07715$. The $w$ function is the tetrahedral attractive
336 < term that promotes hydrogen bonding orientations within the first
337 < solvation shell, and $w^\prime$ is a dipolar repulsion term that
338 < repels unrealistic dipolar arrangements within the first solvation
320 < shell. A more detailed description of the functional parts and
321 < variables in this potential can be found in other
322 < articles.\cite{liu96:new_model,chandra99:ssd_md}
332 > It should be noted that $w$ is proportional to the sum of the $Y_3^2$
333 > and $Y_3^{-2}$ spherical harmonics (a linear combination which
334 > enhances the tetrahedral geometry for hydrogen bonded structures),
335 > while $w^\prime$ is a purely empirical function.  A more detailed
336 > description of the functional parts and variables in this potential
337 > can be found in the original SSD
338 > articles.\cite{Ichiye96,Ichiye96b,Ichiye99,Ichiye03}
339  
340 < Since SSD is a one-site point dipole model, the force calculations are
341 < simplified significantly from a computational standpoint, in that the
342 < number of long-range interactions is dramatically reduced. In the
343 < original Monte Carlo simulations using this model, Ichiye \emph{et
344 < al.} reported a calculation speed up of up to an order of magnitude
345 < over other comparable models while maintaining the structural behavior
346 < of water.\cite{liu96:new_model} In the original molecular dynamics studies of
347 < SSD, it was shown that it actually improves upon the prediction of
348 < water's dynamical properties over TIP3P and SPC/E.\cite{chandra99:ssd_md}
340 > Since SSD is a single-point {\it dipolar} model, the force
341 > calculations are simplified significantly relative to the standard
342 > {\it charged} multi-point models. In the original Monte Carlo
343 > simulations using this model, Ichiye {\it et al.} reported that using
344 > SSD decreased computer time by a factor of 6-7 compared to other
345 > models.\cite{Ichiye96} What is most impressive is that this savings
346 > did not come at the expense of accurate depiction of the liquid state
347 > properties.  Indeed, SSD maintains reasonable agreement with the Soper
348 > data for the structural features of liquid
349 > water.\cite{Soper86,Ichiye96} Additionally, the dynamical properties
350 > exhibited by SSD agree with experiment better than those of more
351 > computationally expensive models (like TIP3P and
352 > SPC/E).\cite{Ichiye99} The combination of speed and accurate depiction
353 > of solvent properties makes SSD a very attractive model for the
354 > simulation of large scale biochemical simulations.
355  
356   Recent constant pressure simulations revealed issues in the original
357   SSD model that led to lower than expected densities at all target
358 < pressures.\cite{Ichiye03,Gezelter04} Reparameterizations of the
359 < original SSD have resulted in improved density behavior, as well as
360 < alterations in the water structure and transport behavior. {\sc oopse} is
361 < easily modified to impliment these new potential parameter sets for
362 < the derivative water models: SSD1, SSD/E, and SSD/RF. All of the
363 < variable parameters are listed in the accompanying BASS file, and
364 < these parameters simply need to be changed to the updated values.
358 > pressures.\cite{Ichiye03,Gezelter04} The default model in {\sc oopse}
359 > is SSD/E, a density corrected derivative of SSD that exhibits improved
360 > liquid structure and transport behavior. If the use of a reaction
361 > field long-range interaction correction is desired, it is recommended
362 > that the parameters be modified to those of the SSD/RF model. Solvent
363 > parameters can be easily modified in an accompanying {\sc BASS} file
364 > as illustrated in the scheme below. A table of the parameter values
365 > and the drawbacks and benefits of the different density corrected SSD
366 > models can be found in reference \ref{Gezelter04}.
367  
368 + !!!Place a {\sc BASS} scheme showing SSD parameters around here!!!
369  
370   \subsection{\label{sec:eam}Embedded Atom Model}
371  

Diff Legend

Removed lines
+ Added lines
< Changed lines
> Changed lines