Force fields (FFs) for molecular simulation have been
under development
for more than half a century. As with any predictive model, rigorous
testing and comparisons of models critically depends on the availability
of standardized data sets and benchmarks. While such benchmarks are
rather common in the fields of quantum chemistry, this is not the
case for empirical FFs. That is, few benchmarks are reused to evaluate
FFs, and development teams rather use their own training and test
sets. Here we present an overview of currently available tests and
benchmarks for computational chemistry, focusing on organic compounds,
including halogens and common ions, as FFs for these are the most
common ones. We argue that many of the benchmark data sets from quantum
chemistry can in fact be reused for evaluating FFs, but new gas phase
data is still needed for compounds containing phosphorus and sulfur
in different valence states. In addition, more nonequilibrium interaction
energies and forces, as well as molecular properties such as electrostatic
potentials around compounds, would be beneficial. For the condensed
phases there is a large body of experimental data available, and tools
to utilize these data in an automated fashion are under development.
If FF developers, as well as researchers in artificial intelligence,
would adopt a number of these data sets, it would become easier to
compare the relative strengths and weaknesses of different models
and to, eventually, restore the balance in the force.