Rechargeable batteries have become
indispensable implements in
our daily life and are considered a promising technology to construct
sustainable energy systems in the future. The liquid electrolyte is
one of the most important parts of a battery and is extremely critical
in stabilizing the electrode–electrolyte interfaces and constructing
safe and long-life-span batteries. Tremendous efforts have been devoted
to developing new electrolyte solvents, salts, additives, and recipes,
where molecular dynamics (MD) simulations play an increasingly important
role in exploring electrolyte structures, physicochemical properties
such as ionic conductivity, and interfacial reaction mechanisms. This
review affords an overview of applying MD simulations in the study
of liquid electrolytes for rechargeable batteries. First, the fundamentals
and recent theoretical progress in three-class MD simulations are
summarized, including classical, ab initio, and machine-learning
MD simulations (section 2). Next, the application of MD simulations
to the exploration of liquid electrolytes, including probing bulk
and interfacial structures (section 3), deriving macroscopic properties
such as ionic conductivity and dielectric constant of electrolytes
(section 4), and revealing the electrode–electrolyte interfacial
reaction mechanisms (section 5), are sequentially presented. Finally,
a general conclusion and an insightful perspective on current challenges
and future directions in applying MD simulations to liquid electrolytes
are provided. Machine-learning technologies are highlighted to figure
out these challenging issues facing MD simulations and electrolyte
research and promote the rational design of advanced electrolytes
for next-generation rechargeable batteries.