Quantifying Intuition:Bayesian Approach to Figures of Merit in EXAFS Analysis of Magic Size Clusters

Haddad, Lucy, Gianolio, Diego, Dunstan, David J et al. (3 more authors) (2024) Quantifying Intuition:Bayesian Approach to Figures of Merit in EXAFS Analysis of Magic Size Clusters. Nanoscale. pp. 5768-5775. ISSN 2040-3372

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Item Type: Article
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© The Royal Society of Chemistry 2024

Dates:
  • Published: 16 February 2024
  • Accepted: 3 February 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Chemistry (York)
Depositing User: Pure (York)
Date Deposited: 20 Mar 2024 12:10
Last Modified: 16 Oct 2024 19:50
Published Version: https://doi.org/10.1039/d3nr05110b
Status: Published
Refereed: Yes
Identification Number: 10.1039/d3nr05110b
Open Archives Initiative ID (OAI ID):

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Filename: d3nr05110b.pdf

Description: Quantifying intuition: Bayesian approach to figures of merit in EXAFS analysis of magic size clusters

Licence: CC-BY 2.5

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