Acceleration of Self-Consistent Field Calculations Using Basis Set Projection and Many-Body Expansion as Initial Guess Methods
| dc.contributor.author | Yu, Fiona C.Y. | en |
| dc.contributor.author | Seidl, Christopher | en |
| dc.contributor.author | Palethorpe, Elise | en |
| dc.contributor.author | Barca, Giuseppe M.J. | en |
| dc.date.accessioned | 2025-05-23T13:29:13Z | |
| dc.date.available | 2025-05-23T13:29:13Z | |
| dc.date.issued | 2025-02-11 | en |
| dc.description.abstract | In Self-Consistent Field (SCF) calculations, the choice of initial guess plays a key role in determining the time-to-solution by influencing the number of iterations required for convergence. However, focusing solely on reducing iterations may overlook the computational cost associated with improving the accuracy of initial guesses. This study critically evaluates the effectiveness of two initial guess methods─basis set projection (BSP) and many-body expansion (MBE) on Hartree-Fock and hybrid Density Functional Theory (B3LYP and MN15) methods. We also introduce a new approach, a hybrid of MBE and BSP. Our assessment considers both the number of SCF iterations and the total computational wall-times. The results demonstrate that BSP, MBE, and the hybrid method could significantly outperform the conventional superposition of atomic densities (SAD) technique. With these methods, reductions in total wall-time, including the time spent generating initial guesses, by up to 21.9, 27.6, and 21.6% could be observed with HF, B3LYP, and MN15, respectively, when tested on systems containing up to 14,386 basis functions. Furthermore, we also examine the influence of these initial guess schemes on difficult-to-converge metalloprotein and triplet electronic states. Speedups could be observed with non-SAD approaches although in the case of triplet electronic states, higher convergence failures could be observed. | en |
| dc.description.sponsorship | G.M.J.B. thanks the Pawsey Centre for Extreme Scale Readiness (PaCER) for both funding and computing resources. G.M.B.J. thanks the National Computational Merit Allocation Scheme (NCMAS) and the Australian National University Merit Allocation Scheme (ANUMAS) for their respective computational resources grants on the Gadi supercomputer at National Computational Infrastructure and on the Setonix supercomputer at the Pawsey Supercomputing Centre. F.Y. and E.P. thank the Australian Government for supporting this work through an Australian Government Research Training Program Scholarship. E.P. also acknowledges the National Industry PhD program, the Department of Education and QDX technologies for providing additional funding. All authors thank Ryan Stocks for his support with the DFT code in EXESS. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 19 | en |
| dc.identifier.issn | 1549-9618 | en |
| dc.identifier.other | PubMed:39876602 | en |
| dc.identifier.other | WOS:001408972000001 | en |
| dc.identifier.scopus | 85216517345 | en |
| dc.identifier.uri | http://www.scopus.com/inward/record.url?scp=85216517345&partnerID=8YFLogxK | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733752404 | |
| dc.language.iso | en | en |
| dc.rights | © 2025 American Chemical Society. | en |
| dc.source | Journal of Chemical Theory and Computation | en |
| dc.subject | Molecular-orbital methods | en |
| dc.subject | Scf calculations | en |
| dc.subject | Energy | en |
| dc.subject | Split-valence | en |
| dc.subject | Gaussian-basis sets | en |
| dc.subject | Li | en |
| dc.subject | Zeta valence quality | en |
| dc.subject | Convergence | en |
| dc.title | Acceleration of Self-Consistent Field Calculations Using Basis Set Projection and Many-Body Expansion as Initial Guess Methods | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 1248 | en |
| local.bibliographicCitation.startpage | 1230 | en |
| local.contributor.affiliation | Yu, Fiona C.Y.; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Seidl, Christopher; QDX Technologies | en |
| local.contributor.affiliation | Palethorpe, Elise; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Barca, Giuseppe M.J.; University of Melbourne | en |
| local.identifier.citationvolume | 21 | en |
| local.identifier.doi | 10.1021/acs.jctc.4c01465 | en |
| local.identifier.pure | bb6c13b1-112e-46de-b521-33dcf0a39dea | en |
| local.identifier.url | https://www.scopus.com/pages/publications/85216517345 | en |
| local.type.status | Published | en |