67 research outputs found
Derivation of coarse-grained potentials via multistate iterative Boltzmann inversion
In this work, an extension to the standard iterative Boltzmann inversion
(IBI) method to derive coarse-grained potentials is proposed. It is shown that
the inclusion of target data from multiple states yields a less state-dependent
potential, and is thus better suited to simulate systems over a range of
thermodynamic states than the standard IBI method. The inclusion of target data
from multiple states forces the algorithm to sample regions of potential phase
space that match the radial distribution function at multiple state points,
thus producing a derived potential that is more representative of the
underlying potential interactions. It is shown that the algorithm is able to
converge to the true potential for a system where the underlying potential is
known. It is also shown that potentials derived via the proposed method better
predict the behavior of n-alkane chains than those derived via the standard
method. Additionally, through the examination of alkane monolayers, it is shown
that the relative weight given to each state in the fitting procedure can
impact bulk system properties, allowing the potentials to be further tuned in
order to match the properties of reference atomistic and/or experimental
systems
Icosahedral packing of polymer-tethered nanospheres and stabilization of the gyroid phase
We present results of molecular simulations that predict the phases formed by
the self-assembly of model nanospheres functionalized with a single polymer
"tether", including double gyroid, perforated lamella and crystalline bilayer
phases. We show that microphase separation of the immiscible tethers and
nanospheres causes confinement of the nanoparticles, which promotes local
icosahedral packing that stabilizes the gyroid and perforated lamella phases.
We present a new metric for determining the local arrangement of particles
based on spherical harmonic "fingerprints", which we use to quantify the extent
of icosahedral ordering.Comment: 8 pages, 4 figure
Hydrodynamics and microphase ordering in block copolymers: Are hydrodynamics required for ordered phases with periodicity in more than one dimension?
We use Brownian dynamics (BD), molecular dynamics, and dissipative particle dynamics to study the phase behavior of diblock copolymer melts and to determine if hydrodynamics is required in the formation of phases with greater than one-dimensional periodicity. We present a phase diagram for diblock copolymers predicted by BD and provide a relationship between the inverse dimensionless temperature ϵ/kBTϵ/kBT and the Flory–Huggins χ parameter, allowing for a quantitative comparison between methods and to mean field predictions. Our results concerning phase behavior are in good qualitative agreement with the theoretical predictions of Matsen and Bates [M. W. Matsen and F. S. Bates, Macromolecules 29, 1091 (1996)]; however, fluctuation effects arising from finite polymer lengths substantially alter the phase boundaries. Our results pertaining to the hydrodynamics are in contrast to earlier work by Groot et al. [R. D. Groot, T. J. Madden, and D. J. Tildesley, J. Chem. Phys. 110, 9739 (1999); D. Frenkel and B. Smit, Understanding Molecular Simulation, 2nd ed. (Academic, New York, 2001)]. In particular, we obtain the hexagonal ordered cylinder phase with BD, a method that does not include hydrodynamics. © 2004 American Institute of Physics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/69378/2/JCPSA6-121-22-11455-1.pd
Formalizing Atom-typing and the Dissemination of Force Fields with Foyer
A key component to enhancing reproducibility in the molecular simulation
community is reducing ambiguity in the parameterization of molecular models.
Ambiguity in molecular models often stems from the dissemination of molecular
force fields in a format that is not directly usable or is ambiguously
documented via a non-machine readable mechanism. Specifically, the lack of a
general tool for performing automated atom-typing under the rules of a
particular force field facilitates errors in model parameterization that may go
unnoticed if other researchers are unable reproduce this process. Here, we
present Foyer, a Python tool that enables users to define force field
atom-typing rules in a format that is both machine- and human-readable thus
eliminating ambiguity in atom-typing and additionally providing a framework for
force field dissemination. Foyer defines force fields in an XML format, where
SMARTS strings are used to define the chemical context of a particular atom
type. Herein we describe the underlying methodology of the Foyer package,
highlighting its advantages over typical atom-typing approaches and demonstrate
is application in several use-cases.Comment: 39 Page, 4 Figures, 8 Listing
Perfluoropolyethers: Development of an All-Atom Force Field for Molecular Simulations and Validation with New Experimental Vapor Pressures and Liquid Densities
A force field for perfluoropolyethers (PFPEs) based on the
general optimized potentials for liquid simulations all-atom (OPLS-AA) force
field has been derived in conjunction with experiments and ab initio quantum
mechanical calculations. Vapor pressures and densities of two liquid PFPEs,
perfluorodiglyme (CF3−O−(CF2−CF2−O)2−CF3) and perfluorotriglyme
(CF3−O−(CF2−CF2−O)3−CF3), have been measured experimentally to
validate the force field and increase our understanding of the physical
properties of PFPEs. Force field parameters build upon those for related
molecules (e.g., ethers and perfluoroalkanes) in the OPLS-AA force field, with
new parameters introduced for interactions specific to PFPEs. Molecular
dynamics simulations using the new force field demonstrate excellent
agreement with ab initio calculations at the RHF/6-31G* level for gas-phase
torsional energies (<0.5 kcal mol−1 error) and molecular structures for several
PFPEs, and also accurately reproduce experimentally determined densities (<0.02 g cm−3 error) and enthalpies of vaporization
derived from experimental vapor pressures (<0.3 kcal mol−1). Additional comparisons between experiment and simulation show
that polyethers demonstrate a significant decrease in enthalpy of vaporization upon fluorination unlike related molecules (e.g.,
alkanes and alcohols). Simulation suggests this phenomenon is a result of reduced cohesion in liquid PFPEs due to a reduction in
localized associations between backbone oxygen atoms and neighboring molecules
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