Fitting Multiplet Simulations to L-Edge XAS Spectra of Transition-Metal Complexes Using an Adaptive Grid Algorithm

María G. Herrera-Yáñez, J. Alberto Guerrero-Cruz, Mahnaz Ghiasi, Hebatalla Elnaggar, Andrea de la Torre-Rangel, L. Alejandra Bernal-Guzmán, Roberto Flores-Moreno, Frank M.F. de Groot, Mario U. Delgado-Jaime*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

A new methodology based on an adaptive grid algorithm followed by an analysis of the ground state from the fit parameters is presented to analyze and interpret experimental XAS L2,3-edge data. The fitting method is tested first in a series of multiplet calculations for d0-d7 systems and for which the solution is known. In most cases, the algorithm is able to find the solution, except for a mixed-spin Co2+ Oh complex, where it instead revealed a correlation between the crystal field and the electron repulsion parameters near spin-crossover transition points. Furthermore, the results for the fitting of previously published experimental data sets on CaO, CaF2, MnO, LiMnO2, and Mn2O3 are presented and their solution discussed. The presented methodology has allowed the evaluation of the Jahn-Teller distortion in LiMnO2, which is consistent with the observed implications in the development of batteries, which use this material. Moreover, a follow-up analysis of the ground state in Mn2O3 has demonstrated an unusual ground state for the highly distorted site which would be impossible to optimize in a perfect octahedral environment. Ultimately, the presented methodology can be used in the analysis of X-ray absorption spectroscopy data measured at the L2,3-edge for a large number of materials and molecular complexes of first-row transition metals and can be expanded to the analysis of other X-ray spectroscopic data in future studies.

Original languageEnglish
Pages (from-to)3738-3760
Number of pages23
JournalInorganic Chemistry
Volume62
Issue number9
DOIs
Publication statusPublished - 6 Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 American Chemical Society.

Funding

M.G.H.-Y., J.A.G.-C., A.d.l.T.-R., L.A.B.-G., and M.U.D.-J. thank CONACyT for financial support under grant number A1-S-8384 and also thankfully acknowledge the computer resources, technical expertise, and support provided by the Laboratorio Nacional de Supercómputo del Sureste de México, CONACYT member of the network of national laboratories.

FundersFunder number
Consejo Nacional de Ciencia y Tecnología - ParaguayA1-S-8384

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