TY - JOUR
T1 - Mesoscale Electrostatics Driving Particle Dynamics in Nonhomogeneous Dielectrics
AU - Bore, Sigbjørn Løland
AU - Kolli, Hima Bindu
AU - Kawakatsu, Toshihiro
AU - Milano, Giuseppe
AU - Cascella, Michele
N1 - Funding Information:
*(M.C.) E-mail: michele.cascella@kjemi.uio.no. ORCID Sigbjørn Løland Bore: 0000-0002-8620-4885 Michele Cascella: 0000-0003-2266-5399 Present Address §(H.B.K.) Department of Physics and Astronomy, The University of Sheffield, Sheffield S10 2TN, United Kingdom. Funding Authors acknowledge the support of the Norwegian Research Council through the CoE Hylleraas Centre for Quantum Molecular Sciences (Grant No. 262695) and the Norwegian Supercomputing Program (NOTUR) (Grant No. NN4654K). H.B.K. received funding from the European Union Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement HYPERBIO - No 704491. Notes The authors declare no competing financial interest.
Publisher Copyright:
© 2019 American Chemical Society.
PY - 2019/3/12
Y1 - 2019/3/12
N2 - We introduce a density functional-based formalism to compute the electrostatic energy and forces for a mesoscopic system in the condensed phase, described with molecular resolution. The dielectric permittivity is variable in space, and it is dependent on the density fields of the individual particles present in the system. The electrostatic potential is obtained from standard numerical solutions of the generalized Poisson equation. The presence of a particle-dependent varying dielectrics produces the appearance of mesoscopic polarization forces, which are dependent on the local fluctuations of the permittivity, as well as of the electrostatic field. The proposed implementation is numerically robust, with an error on the Coulomb forces that can be systematically controlled by the mesh of spatial grid used for solving the generalized Poisson equation. We show that the method presented here is able to reproduce the concentration-dependent partitioning of an ideal salt in water/oil mixtures, in particular, reproducing the 1/ϵ dependency of the partition coefficient for the free ions predicted by Born theory. Moreover, this approach reproduces the correct electrostatic features of both dipolar and charged lipid bilayers, with positive membrane and dipole potentials. The sum of both Coulomb and polarization interactions inside the membrane yields a globally repulsive potential of mean force for the ions, independently on their charge. The computational efficiency of the method makes it particularly suitable for the description of large-scale polyelectrolyte soft-matter systems.
AB - We introduce a density functional-based formalism to compute the electrostatic energy and forces for a mesoscopic system in the condensed phase, described with molecular resolution. The dielectric permittivity is variable in space, and it is dependent on the density fields of the individual particles present in the system. The electrostatic potential is obtained from standard numerical solutions of the generalized Poisson equation. The presence of a particle-dependent varying dielectrics produces the appearance of mesoscopic polarization forces, which are dependent on the local fluctuations of the permittivity, as well as of the electrostatic field. The proposed implementation is numerically robust, with an error on the Coulomb forces that can be systematically controlled by the mesh of spatial grid used for solving the generalized Poisson equation. We show that the method presented here is able to reproduce the concentration-dependent partitioning of an ideal salt in water/oil mixtures, in particular, reproducing the 1/ϵ dependency of the partition coefficient for the free ions predicted by Born theory. Moreover, this approach reproduces the correct electrostatic features of both dipolar and charged lipid bilayers, with positive membrane and dipole potentials. The sum of both Coulomb and polarization interactions inside the membrane yields a globally repulsive potential of mean force for the ions, independently on their charge. The computational efficiency of the method makes it particularly suitable for the description of large-scale polyelectrolyte soft-matter systems.
UR - http://www.scopus.com/inward/record.url?scp=85061997988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061997988&partnerID=8YFLogxK
U2 - 10.1021/acs.jctc.8b01201
DO - 10.1021/acs.jctc.8b01201
M3 - Article
C2 - 30694666
AN - SCOPUS:85061997988
SN - 1549-9618
VL - 15
SP - 2033
EP - 2041
JO - Journal of Chemical Theory and Computation
JF - Journal of Chemical Theory and Computation
IS - 3
ER -