Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session A58: Quantum Embedding Methods: Methods
8:00 AM–10:24 AM,
Monday, March 4, 2024
Room: 205D
Sponsoring
Unit:
DCOMP
Chair: Tianyu Zhu, Yale University
Abstract: A58.00008 : Ab-initio downfolding to interacting model Hamiltonians: comprehensive analysis and benchmarking*
9:48 AM–10:00 AM
Presenter:
Malte Roesner
(Radboud University)
Authors:
Yueqing Chang
(Rutgers, The State University of New Jersey)
Erik van Loon
(Lund Univ/Lund Inst of Tech)
Kyle Eskridge
(Simons Foundation)
Miguel A Morales
(Simons Foundation)
Cyrus E Dreyer
(Stony Brook University (SUNY))
Andrew Millis
(Columbia University)
Shiwei Zhang
(Simons Foundation)
Tim Wehling
(University of Hamburg)
Lucas K Wagner
(University of Illinois at Urbana-Champaign)
Malte Roesner
(Radboud University)
We fill this gap with a systematic benchmark study in the vanadocene molecule, where we are able to first establish reference data for ground and charge-neutral excited state energies and charge densities using state-of-the-art first-principles methods (the equation-of-motion coupled-cluster method, fixed-node diffusion Monte Carlo, and auxiliary field quantum Monte Carlo). The downfolding procedure is assessed afterwards based on comparisons to these first-principles references. We analyze all downfolding aspects, including the Hamiltonian form, target basis, double-counting correction, and Coulomb interaction screening models. We find that the choice of target-space basis functions emerges as a key factor for the quality of the downfolded results, while orbital-dependent double-counting correction diminishes the quality. Background screening to the Coulomb interaction matrix elements primarily affects crystal-field excitations. Our benchmark uncovers the relative importance of each downfolding step and offers insights into the potential accuracy of minimal downfolded model Hamiltonians.
*This work has been supported in part by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Computational Materials Sciences Program, under Award No. DE-SC0020177 (YC), the Swedish Research Council (Vetenskapsrådet, VR) under grant 2022-03090 (EvL), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the cluster of excellence "CUI: Advanced Imaging of Matter" of the Deutsche Forschungsgemeinschaft (DFG EXC 2056, Project ID 390715994) and research unit QUAST FOR 5249 (project ID: 449872909; project P5) (TW), and a grant from the Simons Foundation as part of the Simons Collaboration on the many-electron problem (LKW).
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