Quantifying the Site Heterogeneities of Non‐Uniform Catalysts Using QuantEXAFS

Abstract We present the Multi‐site (MS) QuantEXAFS approach, designed to model the EXAFS data from samples containing an element in different local bonding geometries. Building upon our QuantEXAFS method, which maps experimental extended X‐ray absorption fine structures (EXAFS) data to DFT‐optimized structures, MS‐QuantEXAFS introduces the key capability to probe fractional contributions of multiple sites that may be present in an experimental sample. Specifically, we demonstrate effectiveness of this technique by investigating mixed samples containing known fractions of site‐isolated subsurface Pt/MgO with Pt nanoparticles uniformly supported on MgO. The ‘site‐fractions’ obtained through MS‐QuantEXAFS closely match (i. e., ±6%) the known fractions of the physically mixed samples. This approach has been generalized to other oxides, and thus represents an important advance in quantifying the speciation of non‐uniform catalyst samples.

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Publication Details

Journal
Chemistry - Methods
Published
2024-11-21
DOI
https://doi.org/10.1002/cmtd.202400020
Citations
3
Primary Topic
X-ray Spectroscopy and Fluorescence Analysis
Type
article
Field-Weighted Citation Impact
1.82

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article

Quantifying the Site Heterogeneities of Non‐Uniform Catalysts Using QuantEXAFS

Jiyun Hong, Ambarish Kulkarni, Adam S. Hoffman, Simon R. Bare et al.
3 citations
Chemistry - Methods
X-ray Spectroscopy and Fluorescence Analysis
1.82
article

Quantifying the Site Heterogeneities of Non‐Uniform Catalysts Using QuantEXAFS

Jiyun Hong, Ambarish Kulkarni, Adam S. Hoffman, Simon R. Bare, Baraa Werghi, Rachita Rana
article en
3 citations

Abstract

Abstract We present the Multi‐site (MS) QuantEXAFS approach, designed to model the EXAFS data from samples containing an element in different local bonding geometries. Building upon our QuantEXAFS method, which maps experimental extended X‐ray absorption fine structures (EXAFS) data to DFT‐optimized structures, MS‐QuantEXAFS introduces the key capability to probe fractional contributions of multiple sites that may be present in an experimental sample. Specifically, we demonstrate effectiveness of this technique by investigating mixed samples containing known fractions of site‐isolated subsurface Pt/MgO with Pt nanoparticles uniformly supported on MgO. The ‘site‐fractions’ obtained through MS‐QuantEXAFS closely match (i. e., ±6%) the known fractions of the physically mixed samples. This approach has been generalized to other oxides, and thus represents an important advance in quantifying the speciation of non‐uniform catalyst samples.

Chemistry - MethodsVol. 5(1)
SLAC National Accelerator Laboratory (US), Interface (United States) (US), Stanford Synchrotron Radiation Lightsource (US), University of California, Davis (US), Stanford University (US)
Basic Energy Sciences
Openalex Percentile: Top 15%
X-ray Spectroscopy and Fluorescence Analysis
1.82
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