Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session D53: Machine Learning for Spectroscopy
3:00 PM–5:48 PM,
Monday, March 6, 2023
Room: Room 307
Sponsoring
Unit:
GDS
Chair: Nina Andrejevic, Argonne National Laboratory; Davis Unruh, Argonne National Laboratory
Abstract: D53.00004 : Multi-code Benchmark on Ti K-edge X-ray Absorption Spectra of Ti-O Compounds*
4:00 PM–4:12 PM
Presenter:
Fanchen Meng
(Brookhaven National Laboratory)
Authors:
Fanchen Meng
(Brookhaven National Laboratory)
Benedikt Maurer
(Humboldt University of Berlin)
Fabian Peschel
(Humboldt University of Berlin)
Sencer Selcuk
(Brookhaven National Laboratory)
Mark S Hybertsen
(Brookhaven National Laboratory)
Xiaohui Qu
(Brookhaven National Laboratory)
Christian W Vorwerk
(University of Chicago)
Claudia Draxl
(Humboldt University of Berlin)
John Vinson
(National Institute of Standards and Tech)
Deyu Lu
(Brookhaven National Laboratory)
In this work, we benchmarked Ti K-edge XAS simulations of ten representative Ti-O binary compounds, which we refer to as the Ti-O-10 dataset, using three state-of-the-art codes: XSPECTRA, OCEAN and exciting. We systematically studied the convergence behavior with respect to the input parameters and developed a workflow to automate and standardize the calculations to ensure converged spectra. Our benchmark comparison shows: (1) the two Bethe-Salpeter equation (BSE) codes (OCEAN and exciting) have excellent agreement in the energy range studied (up to 35 eV above the onset) with an average Spearman’s correlation score of 0.998; (2) good agreement is obtained between the core-hole potential (CHP) code (XSPECTRA) and BSE codes (OCEAN and exciting) with an average Spearman’s correlation score of 0.990. Our benchmark study provides important standards for first-principles XAS simulations with broad impact in data-driven XAS analysis.
*This research was supported by DOE contracts award FWP PS-030, DE-SC0012704 and DE-AC02-05CH11231, the Midwest Integrated Center for Computational Materials, German Research Foundation CRC 1404 (FONDA), Projektnummer 414984028, and the NFDI consortium FAIRmat - project 4601970.
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