z-logo
open-access-imgOpen Access
Realistic Ion Dynamics through Charge Renormalization in Nonaqueous Electrolytes
Author(s) -
Zhixia Li,
Lily A. Robertson,
Ilya A. Shkrob,
Kyle C. Smith,
Lei Cheng,
Lu Zhang,
Jeffrey S. Moore,
Yang Zhang
Publication year - 2020
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/acs.jpcb.0c01197
Subject(s) - ion , lithium (medication) , chemical physics , electrolyte , neutron scattering , molecular dynamics , chemistry , ionic conductivity , ionic bonding , diffusion , renormalization , scattering , statistical physics , materials science , physics , computational chemistry , thermodynamics , quantum mechanics , medicine , organic chemistry , electrode , endocrinology
While many practically important electrolytes contain lithium ions, interactions of these ions are particularly difficult to probe experimentally because of their small X-ray and neutron scattering cross sections and large neutron absorption cross sections. Molecular dynamics (MD) is a powerful tool for understanding the properties of nonaqueous electrolyte solutions from the atomic level, but the accuracy of this computational method crucially depends on the physics built into the classical force field. Here, we demonstrate that several force fields for lithium bistriflimide (LiTFSI) in acetonitrile yield a solution structure that is consistent with the neutron scattering experiments, yet these models produce dramatically different ion dynamics in solution. Such glaring discrepancies indicate that inadequate representation of long-range interactions leads to excessive ionic association and ion-pair clustering. We show that reasonable agreement with the experimental observations can be achieved by renormalization of the ion charges using a "titration" method suggested herewith. This simple modification produces realistic concentration dependencies for ionic diffusion and conductivity in <2 M solutions, without loss in quality for simulation of the structure.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom