Bulletin of the American Physical Society
2023 APS April Meeting
Volume 68, Number 6
Minneapolis, Minnesota (Apr 15-18)
Virtual (Apr 24-26); Time Zone: Central Time
Session GG03: V: Computational Modeling
3:30 PM–4:54 PM,
Monday, April 24, 2023
Room: Virtual Room 3
Sponsoring
Unit:
DCOMP
Chair: Elena D'Onghia
Abstract: GG03.00004 : High-order finite element method for atomic structure calculations*
4:06 PM–4:18 PM
Presenter:
Rohit Goswami
(Science Institute, University of Iceland & Quansight Labs,TX)
Authors:
Rohit Goswami
(Science Institute, University of Iceland & Quansight Labs,TX)
Ondrej Certik
(GSI Technology)
John E Pask
(Lawrence Livermore Natl Lab)
Isuru Fernando
(Computer Science, University of Illinois at Urbana– Champaign, USA)
Lee A Collins
(Los Alamos Natl Lab)
Gianmarco Manzini
(Applied Mathematics and Plasma Physics (T5), Los Alamos National Laboratory, USA)
N. Sukumar
(Department of Civil & Environmental Engineering, UC Davis, One Shields Avenue, Davis, USA)
Jirí Vackár
(Institute of Physics, Academy of Sciences of the Czech Republic, Czech Republic)
We introduce featom, a general purpose Fortran library which implements finite element methods for solving the radial Schrödinger, Dirac, and Kohn–Sham equations. This allows a systematic control over the convergence by increasing the polynomial order of the elements. By using a novel squared Hamiltonian approach the spurious states of the solutions to the Dirac equations are avoided. Varying quadratures have been used to mantain high accuracy (10^-6 a.u) at low computational costs for heavy elements. The formulation is robust and able to accuracy and precision of the state of the art (dftatom) while being significantly faster. The featom library is designed to be used as a modular component and integrates with libraries which provide general potentials, while a series of meshes are also implemented. We follow best practices for Fortran codebases including testing guidelines, a reproducible build system with the fortran packaging manager with a well defined API which allows extensions and language bindings. For reproduciblity within and with our tooling is guranteed by the workflow used to generate the reference runs in a programmatic manner.
*Partially supported under the auspices of the U.S. Department of Energy by Los Alamos National Laboratory under Contract DE-AC52-06NA2539 and U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. RG is partially supported by the Icelandic Research Fund, grant no. 217436-052.
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