Here, we report that the vDZP basis set can be used with a wide variety of density functionals to produce efficient and accurate results comparable to those of composite methods without reparameterization.

In this study, we investigate AIMNet2, a machine-learned interatomic potential, as a low-cost surrogate for electronic structure theory in pKa prediction.

How it's used at present, and opportunities for the future.