Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session N58: Quantum Embedding Methods: Materials
11:30 AM–1:42 PM,
Wednesday, March 6, 2024
Room: 205D
Sponsoring
Unit:
DCOMP
Chair: Malte Rösner
Abstract: N58.00006 : Understanding effective model derivation for an FeAl0 point defect in AlN using ab-initio quantum Monte Carlo calculations*
12:54 PM–1:06 PM
Presenter:
Kevin G Kleiner
(Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA)
Authors:
Kevin G Kleiner
(Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA)
Cyrus E Dreyer
(Center for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York, 11010, USA)
Lucas K Wagner
(Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA)
Leveraging high-accuracy ab-initio quantum Monte Carlo (QMC) calculations [3], we diagnose errors in downfolded models for FeAl0:AlN from DFT+cRPA using several standard methods. In particular, we examine errors in the effective models’ eigenstates and terms. Using the detailed QMC data, we determine that the one-particle terms are very sensitive to the reference DFT state and that double-counting corrections can drive the effective Hamiltonian into an unphysical regime. Beyond the one-particle terms, it appears that static-limit cRPA overestimates anisotropy in the interaction terms.
[1] M. Bockstedte, et. al., npj. Quantum Mater. 3 31 (2018).
[2] L. Muechler, et. al., Phys. Rev. B 105 235104 (2022).
[3] W. M. C. Foulkes, et. al., Rev. Mod. Phys. 73, 33 (2001).
*KGK was supported by the National Science Foundation (NSF) under Award No. DGE-1922758 and the Graduate Research Fellowship Program under Award No. DGE-1746047, CED was supported by the NSF under Award No. DMR-2237674, and LKW was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Computational Materials Sciences Program, under Award No. DE-SC0020177. The ab-initio QMC calculations used computing resources from the Flatiron Institute’s Scientific Computing Core.
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