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# 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 42 | Line 42 | Notre Dame, Indiana 46556}
42    hull surrounding the system.  A Langevin thermostat is also applied
43    to the facets to mimic contact with an external heat bath. This new
44    method, the ``Langevin Hull'', can handle heterogeneous mixtures of
45 <  materials with different compressibilities.  These are systems that
46 <  are problematic for traditional affine transform methods.  The
47 <  Langevin Hull does not suffer from the edge effects of boundary
48 <  potential methods, and allows realistic treatment of both external
49 <  pressure and thermal conductivity due to the presence of an implicit
50 <  solvent.  We apply this method to several different systems
51 <  including bare metal nanoparticles, nanoparticles in an explicit
52 <  solvent, as well as clusters of liquid water. The predicted
53 <  mechanical properties of these systems are in good agreement with
54 <  experimental data and previous simulation work.
45 >  materials with different compressibilities.  These systems are
46 >  problematic for traditional affine transform methods.  The Langevin
47 >  Hull does not suffer from the edge effects of boundary potential
48 >  methods, and allows realistic treatment of both external pressure
49 >  and thermal conductivity due to the presence of an implicit solvent.
50 >  We apply this method to several different systems including bare
51 >  metal nanoparticles, nanoparticles in an explicit solvent, as well
52 >  as clusters of liquid water. The predicted mechanical properties of
53 >  these systems are in good agreement with experimental data and
54 >  previous simulation work.
55   \end{abstract}
56  
57   \newpage
# 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
128   in simulations may have significant effects on the structure and
129 < dynamics of simulated structures.
129 > dynamics of simulated systems.
130  
131   \subsection*{Boundary Methods}
132   There have been a number of approaches to handle simulations of
# 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 481 | Line 481 | pseudo-atoms. $D_{ij}$, $D_{ii}$ set the appropriate o
481   interactions between the pseudoatom cores. The $\sqrt{\rho_i}$ term in
482   Eq. (\ref{eq:SCP1}) is an attractive many-body potential that models
483   the interactions between the valence electrons and the cores of the
484 < pseudo-atoms. $D_{ij}$, $D_{ii}$ set the appropriate overall energy
484 > pseudo-atoms. $D_{ij}$ and $D_{ii}$ set the appropriate overall energy
485   scale, $c_i$ scales the attractive portion of the potential relative
486   to the repulsive interaction and $\alpha_{ij}$ is a length parameter
487   that assures a dimensionless form for $\rho$. These parameters are
# 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
498 > performed a series of 1 ns simulations on gold nanoparticles of three
499 > different radii under the Langevin Hull at a variety of applied
500 > pressures ranging from 0 -- 10 GPa.  For the 40 \AA~ radius
501 > nanoparticle we obtain a value of 177.55 GPa for the bulk modulus of
502 > gold, in close agreement with both previous simulations and the
503 > experimental bulk modulus reported for gold single
504 > crystals.\cite{Collard1991} The smaller gold nanoparticles (30 and 20
505 > \AA~ radii) have calculated bulk moduli of 215.58 and 208.86 GPa,
506 > respectively, indicating that smaller nanoparticles are somewhat
507 > stiffer (less compressible) than the larger nanoparticles.  This
508 > stiffening of the small nanoparticles may be related to their high
509 > degree of surface curvature, resulting in a lower coordination number
510 > of surface atoms relative to the the surface atoms in the 40 \AA~
511 > radius particle.
512  
513 + We obtain a gold lattice constant of 4.051 \AA~ using the Langevin
514 + Hull at 1 atm, close to the experimentally-determined value for bulk
515 + gold and the value for gold simulated using the QSC potential and
516 + periodic boundary conditions (4.079 \AA~ and 4.088\AA~,
517 + respectively).\cite{QSC2} The slightly smaller calculated lattice
518 + constant is most likely due to the presence of surface tension in the
519 + non-periodic Langevin Hull cluster, an effect absent from a bulk
520 + simulation. The specific heat of a 40 \AA~ gold nanoparticle under the
521 + Langevin Hull at 1 atm is 24.914 $\mathrm {\frac{J}{mol \, K}}$, which
522 + compares very well with the experimental value of 25.42 $\mathrm
523 + {\frac{J}{mol \, K}}$.
524 +
525   \begin{figure}
526   \includegraphics[width=\linewidth]{stacked}
527   \caption{The response of the internal pressure and temperature of gold
# Line 518 | Line 538 | the total surface area of the cluter exposed to the ba
538   temperature respond to the Langevin Hull for nanoparticles that were
539   initialized far from the target pressure and temperature.  As
540   expected, the rate at which thermal equilibrium is achieved depends on
541 < the total surface area of the cluter exposed to the bath as well as
541 > the total surface area of the cluster exposed to the bath as well as
542   the bath viscosity.  Pressure that is applied suddenly to a cluster
543   can excite breathing vibrations, but these rapidly damp out (on time
544   scales of 30 -- 50 ps).
# Line 530 | Line 550 | Langevin Hull simulations for pressures between 1 and
550   ensembles) have yielded values for the isothermal compressibility that
551   agree well with experiment.\cite{Fine1973} The results of two
552   different approaches for computing the isothermal compressibility from
553 < Langevin Hull simulations for pressures between 1 and 6500 atm are
553 > Langevin Hull simulations for pressures between 1 and 3000 atm are
554   shown in Fig. \ref{fig:compWater} along with compressibility values
555   obtained from both other SPC/E simulations and experiment.
556  
# Line 545 | Line 565 | pressures.  The reason for this deviation is quite sim
565   and previous simulation work throughout the 1 -- 1000 atm pressure
566   regime.  Compressibilities computed using the Hull volume, however,
567   deviate dramatically from the experimental values at low applied
568 < pressures.  The reason for this deviation is quite simple; at low
568 > pressures.  The reason for this deviation is quite simple: at low
569   applied pressures, the liquid is in equilibrium with a vapor phase,
570   and it is entirely possible for one (or a few) molecules to drift away
571   from the liquid cluster (see Fig. \ref{fig:coneOfShame}).  At low
# Line 575 | Line 595 | volume,\cite{Debenedetti1986},
595   different pressures must be done to compute the first derivatives.  It
596   is also possible to compute the compressibility using the fluctuation
597   dissipation theorem using either fluctuations in the
598 < volume,\cite{Debenedetti1986},
598 > volume,\cite{Debenedetti1986}
599   \begin{equation}
600   \kappa_{T} = \frac{\left \langle V^{2} \right \rangle - \left \langle
601      V \right \rangle ^{2}}{V \, k_{B} \, T},
# Line 594 | Line 614 | compressibilities.
614   effects of the empty space due to the vapor phase; for this reason, we
615   recommend using the number density (Eq. \ref{eq:BMN}) or number
616   density fluctuations (Eq. \ref{eq:BMNfluct}) for computing
617 < compressibilities.
617 > compressibilities. We achieved the best results using a sampling
618 > radius approximately 80\% of the cluster radius. This ratio of
619 > sampling radius to cluster radius excludes the problematic vapor phase
620 > on the outside of the cluster while including enough of the liquid
621 > phase to avoid poor statistics due to fluctuating local densities.
622  
623 + A comparison of the oxygen-oxygen radial distribution functions for
624 + SPC/E water simulated using the Langevin Hull and bulk SPC/E using
625 + periodic boundary conditions -- both at 1 atm and 300K -- reveals an
626 + understructuring of water in the Langevin Hull that manifests as a
627 + slight broadening of the solvation shells. This effect may be related
628 + to the introduction of surface tension around the entire cluster, an
629 + effect absent in bulk systems. As a result, molecules on the hull may
630 + experience an increased inward force, slightly compressing the
631 + solvation shell for these molecules.
632 +
633   \subsection{Molecular orientation distribution at cluster boundary}
634  
635   In order for a non-periodic boundary method to be widely applicable,
# Line 604 | Line 638 | fixing and characterizing the effects of artifical bou
638   methods (e.g. hydrophobic boundary potentials) induced spurious
639   orientational correlations deep within the simulated
640   system.\cite{Lee1984,Belch1985} This behavior spawned many methods for
641 < fixing and characterizing the effects of artifical boundaries
641 > fixing and characterizing the effects of artificial boundaries
642   including methods which fix the orientations of a set of edge
643   molecules.\cite{Warshel1978,King1989}
644  
# Line 613 | Line 647 | the water molecules on the surfaces of the clusterss w
647   hydrophobic boundary, or orientational or radial constraints.
648   Therefore, the orientational correlations of the molecules in water
649   clusters are of particular interest in testing this method.  Ideally,
650 < the water molecules on the surfaces of the clusterss will have enough
650 > the water molecules on the surfaces of the clusters will have enough
651   mobility into and out of the center of the cluster to maintain
652   bulk-like orientational distribution in the absence of orientational
653   and radial constraints.  However, since the number of hydrogen bonding
# Line 680 | Line 714 | To further test the method, we simulated gold nanopart
714  
715   \subsection{Heterogeneous nanoparticle / water mixtures}
716  
717 < To further test the method, we simulated gold nanopartices ($r = 18$
717 > To further test the method, we simulated gold nanoparticles ($r = 18$
718   \AA) solvated by explicit SPC/E water clusters using a model for the
719   gold / water interactions that has been used by Dou {\it et. al.} for
720   investigating the separation of water films near hot metal
# Line 702 | Line 736 | indicating a less well-defined interfacial surface.
736   \includegraphics[width=\linewidth]{RhoR}
737   \caption{Density profiles of gold and water at the nanoparticle
738    surface. Each curve has been normalized by the average density in
739 <  the bulk-like region available to the corresponding material.  Higher applied pressures
740 <  de-structure both the gold nanoparticle surface and water at the
741 <  metal/water interface.}
739 >  the bulk-like region available to the corresponding material.
740 >  Higher applied pressures de-structure both the gold nanoparticle
741 >  surface and water at the metal/water interface.}
742   \label{fig:RhoR}
743   \end{figure}
744  
# Line 717 | Line 751 | adsorption behavior appears to require harder repulsiv
751   to prevent water from diffusing into the center of the gold
752   nanoparticles.  This behavior is likely not a realistic description of
753   the real physics of the situation.  A better model of the gold-water
754 < adsorption behavior appears to require harder repulsive walls to
755 < prevent this behavior.
754 > adsorption behavior would require harder repulsive walls to prevent
755 > this behavior.
756  
757   \section{Discussion}
758   \label{sec:discussion}

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