Many methods to accelerate sampling of molecular configurations are based on
the idea that temperature can be used to accelerate rare transitions. These
methods typically compute equilibrium properties at a target temperature using
reweighting or through Monte Carlo exchanges between replicas at higher
temperatures. A recent paper demonstrated that accurate equilibrium densities
of states can also be computed through a nonequilibrium ``quench'' process,
where sampling is performed at a higher temperature to encourage rapid mixing
and then quenched to lower energy states with dissipative dynamics. Here we
provide an implementation of the quench dynamics in LAMMPS and evaluate a new
formulation of nonequilibrium estimators for the computation of partition
functions or free energy surfaces (FESs) of molecular systems. We show that the
method is exact for a minimal model of N-independent harmonic springs, and
use these analytical results to develop heuristics for the amount of quenching
required to obtain accurate sampling.= We then test the quench approach on
alanine dipeptide, where we show that it gives an FES that is accurate near the
most stable configurations using the quench approach, but disagrees with a
reference umbrella sampling calculation in high FE regions. We then show that
combining quenching with umbrella sampling allows the efficient calculation of
the free energy in all regions. Moreover, by using this combined scheme, we
obtain the FES across a range of temperatures at no additional cost, making it
much more efficient than standard umbrella sampling if this information is
required. Finally, we discuss how this approach can be extended to solute
tempering and demonstrate that it is highly accurate for the case of solvated
alanine dipeptide without any additional modifications.Comment: 18 pages, with 8 figures, 1 table, and 9 supplemental figure