Overcoming the Memory Bottleneck in Auxiliary Field Quantum Monte Carlo Simulations with Interpolative Separable Density Fitting
At a Glance
Section titled āAt a Glanceā| Metadata | Details |
|---|---|
| Publication Date | 2018-12-19 |
| Journal | Journal of Chemical Theory and Computation |
| Authors | Fionn D. Malone, Shuai Zhang, Miguel A. Morales |
| Institutions | Lawrence Livermore National Laboratory, Quantum Simulations (United States) |
| Citations | 53 |
Abstract
Section titled āAbstractāWe investigate the use of interpolative separable density fitting (ISDF) as a means to reduce the memory bottleneck in auxiliary field quantum Monte Carlo (AFQMC) simulations of real materials in Gaussian basis sets. We find that ISDF can reduce the memory scaling of AFQMC simulations from [Formula: see text] to [Formula: see text]. We test these developments by computing the structural properties of carbon in the diamond phase, comparing to results from existing computational methods and experiment.