Fitting Multiplet Simulations to L-Edge XAS Spectra of Transition-Metal Complexes Using an Adaptive Grid Algorithm.
María G Herrera-YáñezJ Alberto Guerrero-CruzMahnaz GhiasiHebatalla ElnaggarAndrea de la Torre-RangelL Alejandra Bernal-GuzmánRoberto Flores-MorenoFrank M F DeGrootMario U Delgado-JaimePublished in: Inorganic chemistry (2023)
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 L 2,3 -edge data. The fitting method is tested first in a series of multiplet calculations for d 0 -d 7 systems and for which the solution is known. In most cases, the algorithm is able to find the solution, except for a mixed-spin Co 2+ O h 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, CaF 2 , MnO, LiMnO 2 , and Mn 2 O 3 are presented and their solution discussed. The presented methodology has allowed the evaluation of the Jahn-Teller distortion in LiMnO 2 , 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 Mn 2 O 3 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 L 2,3 -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.
Keyphrases
- transition metal
- electronic health record
- machine learning
- density functional theory
- big data
- high resolution
- solid state
- deep learning
- single molecule
- molecular dynamics
- clinical trial
- molecular dynamics simulations
- open label
- computed tomography
- systematic review
- risk assessment
- data analysis
- human health
- dual energy
- health risk
- monte carlo
- placebo controlled
- electron transfer