Analysis shows phaseless auxiliary-field quantum Monte Carlo calculates noncovalent interactions effectively, suggesting improvements over traditional methods.
Noncovalent interactions are ubiquitous in chemistry and play key roles in, e.g., drug-protein interactions, secondary-sphere effects in catalysis, molecular crystals, the structure of biomolecules, and the properties of liquids. However, their description with approximate electronic structure models is a long standing challenge due to the manybody correlation effects, relatively small energy scales, and potentially large system sizes involved. In this work we first assess the simplest phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) model, which uses restricted Hartree-Fock trial wavefunctions, for representative test sets of noncovalent interactions such as hydrogen bonding, electrostatics, and dispersion (S66, A24, S22, and X31). Against CCSD(T) reference values, we find accuracy consistently better than CCSD, and sometimes dramatically better than MP2. In addition, we use the water dimer (with available CCSDTQ reference energies) to demonstrate that noncovalent interaction energies calculated with ph-AFQMC-RHF benefit significantly from error cancellation. In this spirit, we further show how a branching correlated sampling scheme can be used to reduce the computational cost of noncovalent interaction energy calculations, paving the way to more tractable ph-AFQMC studies of larger molecules.
No takes yet. Share an insight, caveat, or question.
Awasthi et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: