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Revision 3716 by kstocke1, Thu Jan 27 00:00:20 2011 UTC

# Line 17 | Line 17
17   \setlength{\abovecaptionskip}{20 pt}
18   \setlength{\belowcaptionskip}{30 pt}
19  
20 < \bibpunct{[}{]}{,}{s}{}{;}
20 > \bibpunct{}{}{,}{s}{}{;}
21   \bibliographystyle{achemso}
22  
23   \begin{document}
# Line 121 | Line 121 | effective protein concentration of 100 mg/mL.\cite{Ast
121   protein like hen egg white lysozyme (PDB code: 1LYZ) yields an
122   effective protein concentration of 100 mg/mL.\cite{Asthagiri20053300}
123  
124 < {\it Yotal} protein concentrations in the cell are typically on the
124 > {\it Total} protein concentrations in the cell are typically on the
125   order of 160-310 mg/ml,\cite{Brown1991195} and individual proteins
126   have concentrations orders of magnitude lower than this in the
127   cellular environment. The effective concentrations of single proteins
# Line 378 | Line 378 | integrator in our code, OpenMD.\cite{Meineke2005,openm
378   configurations, so this appears to be a reasonably good approximation.
379  
380   We have implemented this method by extending the Langevin dynamics
381 < integrator in our code, OpenMD.\cite{Meineke2005,openmd}  At each
381 > integrator in our code, OpenMD.\cite{Meineke2005,open_md}  At each
382   molecular dynamics time step, the following process is carried out:
383   \begin{enumerate}
384   \item The standard inter-atomic forces ($\nabla_iU$) are computed.
# Line 400 | Line 400 | using calls to the qhull library.\cite{Qhull} There is
400   \item Atomic positions and velocities are propagated.
401   \end{enumerate}
402   The Delaunay triangulation and computation of the convex hull are done
403 < using calls to the qhull library.\cite{Qhull} There is a minimal
403 > using calls to the qhull library.\cite{Q_hull} There is a minimal
404   penalty for computing the convex hull and resistance tensors at each
405   step in the molecular dynamics simulation (roughly 0.02 $\times$ cost
406   of a single force evaluation), and the convex hull is remarkably easy
# Line 431 | Line 431 | The region we used is a spherical volume of 10 \AA\ ra
431   )_{T}.
432   \label{eq:BMN}
433   \end{equation}
434 < The region we used is a spherical volume of 10 \AA\ radius centered in
435 < the middle of the cluster. $N$ is the average number of molecules
434 > The region we used is a spherical volume of 20 \AA\ radius centered in
435 > the middle of the cluster with a roughly 25 \AA\ radius. $N$ is the average number of molecules
436   found within this region throughout a given simulation. The geometry
437 < and size of the region is arbitrary, and any bulk-like portion of the
438 < cluster can be used to compute the compressibility.
437 > of the region is arbitrary, and any bulk-like portion of the
438 > cluster can be used to compute the compressibility.
439  
440   One might assume that the volume of the convex hull could simply be
441   taken as the system volume $V$ in the compressibility expression
# Line 489 | Line 489 | metals.\cite{PhysRevB.59.3527,QSC}
489   energy, and elastic moduli for FCC transition metals. The quantum
490   Sutton-Chen (QSC) formulation matches these properties while including
491   zero-point quantum corrections for different transition
492 < metals.\cite{PhysRevB.59.3527,QSC}
492 > metals.\cite{PhysRevB.59.3527,QSC2}
493  
494   In bulk gold, the experimentally-measured value for the bulk modulus
495   is 180.32 GPa, while previous calculations on the QSC potential in
496   periodic-boundary simulations of the bulk crystal have yielded values
497 < of 175.53 GPa.\cite{QSC} Using the same force field, we have performed
498 < a series of 1 ns simulations on 40 \AA~ radius
499 < nanoparticles under the Langevin Hull at a variety of applied
500 < pressures ranging from 0 -- 10 GPa.  We obtain a value of 177.55 GPa
501 < for the bulk modulus of gold using this technique, in close agreement
502 < with both previous simulations and the experimental bulk modulus of
503 < gold.
497 > of 175.53 GPa.\cite{QSC2} Using the same force field, we have performed
498 > a series of 1 ns simulations on gold nanoparticles of three different radii under the Langevin Hull at a variety of applied pressures ranging from 0 -- 10 GPa.  For the 40 \AA~ radius nanoparticle we obtain a value of 177.55 GPa for the bulk modulus of gold, in close agreement with both previous simulations and the experimental bulk modulus reported for gold single crystals.\cite{Collard1991}  Polycrystalline gold has a reported bulk modulus of 220 GPa. The smaller gold nanoparticles (30 and 20 \AA~ radii) have calculated bulk moduli of 215.58 and 208.86 GPa, respectively, indicating that smaller nanoparticles approach the polycrystalline bulk modulus value while larger nanoparticles approach the single crystal value. As nanoparticle size decreases, the bulk modulus becomes larger and the nanoparticle is less compressible. This stiffening of the small nanoparticles may be related to their high degree of surface curvature, resulting in a lower coordination number of surface atoms relative to the the surface atoms in the 40 \AA~ radius particle.
499  
500 + We measure a gold lattice constant of 4.051 \AA~ using the Langevin Hull at 1 atm, close to the experimentally-determined value for bulk gold and the value for gold simulated using the QSC potential and periodic boundary conditions (4.079 \AA~ and 4.088\AA~, respectively).\cite{QSC2} The slightly smaller calculated lattice constant is most likely due to the presence of surface tension in the non-periodic Langevin Hull cluster, an effect absent from a bulk simulation. The specific heat of a 40 \AA~ gold nanoparticle under the Langevin Hull at 1 atm is 24.914 $\mathrm {\frac{J}{mol \, K}}$, which compares very well with the experimental value of 25.42 $\mathrm {\frac{J}{mol \, K}}$.
501 +
502   \begin{figure}
503   \includegraphics[width=\linewidth]{stacked}
504   \caption{The response of the internal pressure and temperature of gold
# Line 518 | Line 515 | the total surface area of the cluter exposed to the ba
515   temperature respond to the Langevin Hull for nanoparticles that were
516   initialized far from the target pressure and temperature.  As
517   expected, the rate at which thermal equilibrium is achieved depends on
518 < the total surface area of the cluter exposed to the bath as well as
518 > the total surface area of the cluster exposed to the bath as well as
519   the bath viscosity.  Pressure that is applied suddenly to a cluster
520   can excite breathing vibrations, but these rapidly damp out (on time
521   scales of 30 -- 50 ps).
# Line 530 | Line 527 | Langevin Hull simulations for pressures between 1 and
527   ensembles) have yielded values for the isothermal compressibility that
528   agree well with experiment.\cite{Fine1973} The results of two
529   different approaches for computing the isothermal compressibility from
530 < Langevin Hull simulations for pressures between 1 and 6500 atm are
530 > Langevin Hull simulations for pressures between 1 and 3000 atm are
531   shown in Fig. \ref{fig:compWater} along with compressibility values
532   obtained from both other SPC/E simulations and experiment.
533  
# Line 545 | Line 542 | pressures.  The reason for this deviation is quite sim
542   and previous simulation work throughout the 1 -- 1000 atm pressure
543   regime.  Compressibilities computed using the Hull volume, however,
544   deviate dramatically from the experimental values at low applied
545 < pressures.  The reason for this deviation is quite simple; at low
545 > pressures.  The reason for this deviation is quite simple: at low
546   applied pressures, the liquid is in equilibrium with a vapor phase,
547   and it is entirely possible for one (or a few) molecules to drift away
548   from the liquid cluster (see Fig. \ref{fig:coneOfShame}).  At low
# Line 575 | Line 572 | volume,\cite{Debenedetti1986},
572   different pressures must be done to compute the first derivatives.  It
573   is also possible to compute the compressibility using the fluctuation
574   dissipation theorem using either fluctuations in the
575 < volume,\cite{Debenedetti1986},
575 > volume,\cite{Debenedetti1986}
576   \begin{equation}
577   \kappa_{T} = \frac{\left \langle V^{2} \right \rangle - \left \langle
578      V \right \rangle ^{2}}{V \, k_{B} \, T},
# Line 594 | Line 591 | compressibilities.
591   effects of the empty space due to the vapor phase; for this reason, we
592   recommend using the number density (Eq. \ref{eq:BMN}) or number
593   density fluctuations (Eq. \ref{eq:BMNfluct}) for computing
594 < compressibilities.
594 > compressibilities. We achieved the best results using a sampling radius approximately 80\% of the cluster radius. This ratio of sampling radius to cluster radius excludes the problematic vapor phase on the outside of the cluster while including enough of the liquid phase to avoid poor statistics due to fluctuating local densities.
595  
596 + A comparison of the oxygen-oxygen radial distribution functions for SPC/E water simulated using the Langevin Hull and bulk SPC/E using periodic boundary conditions  -- both at 1 atm and 300K -- reveals a slight understructuring of water in the Langevin Hull that manifests as a minor broadening of the solvation shells. This effect may be related to the introduction of surface tension around the entire cluster, an effect absent in bulk systems. As a result, molecules on the hull may experience an increased inward force, slightly compressing the solvation shell structure.
597 +
598   \subsection{Molecular orientation distribution at cluster boundary}
599  
600   In order for a non-periodic boundary method to be widely applicable,
# Line 604 | Line 603 | fixing and characterizing the effects of artifical bou
603   methods (e.g. hydrophobic boundary potentials) induced spurious
604   orientational correlations deep within the simulated
605   system.\cite{Lee1984,Belch1985} This behavior spawned many methods for
606 < fixing and characterizing the effects of artifical boundaries
606 > fixing and characterizing the effects of artificial boundaries
607   including methods which fix the orientations of a set of edge
608   molecules.\cite{Warshel1978,King1989}
609  
# Line 613 | Line 612 | the water molecules on the surfaces of the clusterss w
612   hydrophobic boundary, or orientational or radial constraints.
613   Therefore, the orientational correlations of the molecules in water
614   clusters are of particular interest in testing this method.  Ideally,
615 < the water molecules on the surfaces of the clusterss will have enough
615 > the water molecules on the surfaces of the clusters will have enough
616   mobility into and out of the center of the cluster to maintain
617   bulk-like orientational distribution in the absence of orientational
618   and radial constraints.  However, since the number of hydrogen bonding
# Line 655 | Line 654 | forming a dangling hydrogen bond acceptor site.
654   orientations. Molecules included in the convex hull show a slight
655   preference for values of $\cos{\theta} < 0.$ These values correspond
656   to molecules with oxygen directed toward the exterior of the cluster,
657 < forming a dangling hydrogen bond acceptor site.
657 > forming dangling hydrogen bond acceptor sites.
658  
659 < The orientational preference exhibited by liquid phase hull molecules in the Langevin Hull is significantly weaker than the preference caused by an explicit hydrophobic bounding potential.  Additionally, the Langevin Hull does not require that the orientation of any molecules be fixed in order to maintain bulk-like structure, even at the cluster surface.
659 > The orientational preference exhibited by water molecules on the hull
660 > is significantly weaker than the preference caused by an explicit
661 > hydrophobic bounding potential.  Additionally, the Langevin Hull does
662 > not require that the orientation of any molecules be fixed in order to
663 > maintain bulk-like structure, even near the cluster surface.
664  
665 < Previous molecular dynamics simulations
666 < of SPC/E water using periodic boundary conditions have shown that molecules on the liquid side of the liquid/vapor interface favor a similar orientation where oxygen is directed away from the bulk.\cite{Taylor1996} These simulations had both a liquid phase and a well-defined vapor phase in equilibrium and showed that vapor molecules generally had one hydrogen protruding from the surface, forming a dangling hydrogen bond donor. Our water cluster simulations do not have a true lasting vapor phase, but rather a few transient molecules that leave the liquid droplet. Thus while we are unable to comment on the orientational preference of vapor phase molecules in a Langevin Hull simulation, we achieve good agreement for the orientation of liquid phase molecules at the interface.
665 > Previous molecular dynamics simulations of SPC/E liquid / vapor
666 > interfaces using periodic boundary conditions have shown that
667 > molecules on the liquid side of interface favor a similar orientation
668 > where oxygen is directed away from the bulk.\cite{Taylor1996} These
669 > simulations had well-defined liquid and vapor phase regions
670 > equilibrium and it was observed that {\it vapor} molecules generally
671 > had one hydrogen protruding from the surface, forming a dangling
672 > hydrogen bond donor. Our water clusters do not have a true vapor
673 > region, but rather a few transient molecules that leave the liquid
674 > droplet (and which return to the droplet relatively quickly).
675 > Although we cannot obtain an orientational preference of vapor phase
676 > molecules in a Langevin Hull simulation, but we do agree with previous
677 > estimates of the orientation of {\it liquid phase} molecules at the
678 > interface.
679  
680   \subsection{Heterogeneous nanoparticle / water mixtures}
681  
682 < To further test the method, we simulated gold nanopartices ($r = 18$
683 < \AA) solvated by explicit SPC/E water clusters using the Langevin
684 < Hull.  This was done at pressures of 1, 2, 5, 10, 20, 50, 100 and 200 atm
685 < in order to observe the effects of pressure on the ordering of water
686 < ordering at the surface.  In Fig. \ref{fig:RhoR} we show the density
687 < of water adjacent to the surface as a function of pressure, as well as
688 < the orientational ordering of water at the surface of the
689 < nanoparticle.
682 > To further test the method, we simulated gold nanoparticles ($r = 18$
683 > \AA) solvated by explicit SPC/E water clusters using a model for the
684 > gold / water interactions that has been used by Dou {\it et. al.} for
685 > investigating the separation of water films near hot metal
686 > surfaces.\cite{ISI:000167766600035} The Langevin Hull was used to
687 > sample pressures of 1, 2, 5, 10, 20, 50, 100 and 200 atm, while all
688 > simulations were done at a temperature of 300 K.   At these
689 > temperatures and pressures, there is no observed separation of the
690 > water film from the surface.  
691  
692 + In Fig. \ref{fig:RhoR} we show the density of water and gold as a
693 + function of the distance from the center of the nanoparticle.  Higher
694 + applied pressures appear to destroy structural correlations in the
695 + outermost monolayer of the gold nanoparticle as well as in the water
696 + at the near the metal / water interface.  Simulations at increased
697 + pressures exhibit significant overlap of the gold and water densities,
698 + indicating a less well-defined interfacial surface.
699 +
700   \begin{figure}
701   \includegraphics[width=\linewidth]{RhoR}
702 < \caption{Densities of gold and water at the nanoparticle surface. Higher applied pressures de-structure both the gold nanoparticle and water at the metal/water interface.}
702 > \caption{Density profiles of gold and water at the nanoparticle
703 >  surface. Each curve has been normalized by the average density in
704 >  the bulk-like region available to the corresponding material.  Higher applied pressures
705 >  de-structure both the gold nanoparticle surface and water at the
706 >  metal/water interface.}
707   \label{fig:RhoR}
708   \end{figure}
709  
710 < At higher pressures, problems with the gold - water interaction
711 < potential became apparent.  The model we are using (due to Spohr) was
712 < intended for relatively low pressures; it utilizes both shifted Morse
713 < and repulsive Morse potentials to model the Au/O and Au/H
714 < interactions, respectively.  The repulsive wall of the Morse potential
715 < does not diverge quickly enough at short distances to prevent water
716 < from diffusing into the center of the gold nanoparticles.  This
717 < behavior is likely not a realistic description of the real physics of
718 < the situation.  A better model of the gold-water adsorption behavior
719 < appears to require harder repulsive walls to prevent this behavior.
710 > At even higher pressures (500 atm and above), problems with the metal
711 > - water interaction potential became quite clear.  The model we are
712 > using appears to have been parameterized for relatively low pressures;
713 > it utilizes both shifted Morse and repulsive Morse potentials to model
714 > the Au/O and Au/H interactions, respectively.  The repulsive wall of
715 > the Morse potential does not diverge quickly enough at short distances
716 > to prevent water from diffusing into the center of the gold
717 > nanoparticles.  This behavior is likely not a realistic description of
718 > the real physics of the situation.  A better model of the gold-water
719 > adsorption behavior appears to require harder repulsive walls to
720 > prevent this behavior.
721  
722   \section{Discussion}
723   \label{sec:discussion}

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