Affiliation:
1. University of Cambridge
2. Università di Napoli Federico II
3. University College London
4. Thomas Young Centre
5. London Centre for Nanotechnology
Abstract
Molecular crystals play a central role in a wide range of scientific fields, including pharmaceuticals and organic semiconductor devices. However, they are challenging systems to model accurately with computational approaches because of a delicate interplay of intermolecular interactions such as hydrogen bonding and Van der Waals dispersion forces. Here, by exploiting recent algorithmic developments, we report the first set of diffusion Monte Carlo lattice energies for all 23 molecular crystals in the popular and widely used X23 dataset. Comparisons with previous state-of-the-art lattice energy predictions (on a subset of the dataset) and a careful analysis of experimental sublimation enthalpies reveals that high-accuracy computational methods are now at least as reliable as (computationally derived) experiments for the lattice energies of molecular crystals. Overall, this work demonstrates the feasibility of high-level explicitly correlated electronic structure methods for broad benchmarking studies in complex condensed phase systems, and signposts a route towards closer agreement between experiment and simulation.
Published by the American Physical Society
2024
Funder
H2020 European Research Council
Leverhulme Trust
European Commission
Oak Ridge National Laboratory
Office of Science
U.S. Department of Energy
Cambridge Service for Data Driven Discovery
United Kingdom Car Parrinello
Publisher
American Physical Society (APS)