Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …

Enhanced sampling algorithms have emerged as powerful methods to extend the utility of
molecular dynamics simulations and allow the sampling of larger portions of the …

Electrification of transportation and rising demand for grid energy storage continue to build
momentum around batteries across the globe. However, the supply chain of Li-ion batteries …

The manipulation of neutral atoms by light is at the heart of countless scientific discoveries in
the field of quantum physics in the last three decades. The level of control that has been …

Many applications in chemistry, biology, and energy storage/conversion research rely on
molecular simulations to provide fundamental insight into structural and transport properties …

The weighted ensemble (WE) strategy has been demonstrated to be highly efficient in
generating pathways and rate constants for rare events such as protein folding and protein …

The Tinker software, currently released as version 8, is a modular molecular mechanics and
dynamics package written primarily in a standard, easily portable dialect of Fortran 95 with …

Realistic modeling of biomolecular systems requires an accurate treatment of electrostatics,
including electronic polarization. Due to recent advances in physical models, simulation …

This review describes the theory and implementation of implicit solvation models based on
continuum electrostatics. Within quantum chemistry this formalism is sometimes …

Rechargeable aqueous Zn metal batteries are promising systems for grid storage because
of their high energy density, low cost, and non-flammability. However, Zn metal anodes have …