A Bayesian method for selecting data points for thermodynamic modeling of off-stoichiometric metal oxides-Reference-Cited by-同舟云学术

A Bayesian method for selecting data points for thermodynamic modeling of off-stoichiometric metal oxides

Published:2024 Issue:22 Volume:12 Page:13328-13337
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Wilson Steven A.¹^ORCID,Muhich Christopher L.¹²

Affiliation:

1. Chemical Engineering, School for the Engineering of Matter, Transport, & Energy, Arizona State University, 551 E, Tyler Mall, ERC 257, Tempe Arizona, 85287, USA

2. Materials Science & Engineering, School for the Engineering of Matter, Transport, & Energy, Arizona State University, 551 E, Tyler Mall, Tempe Arizona, 85287, USA

Abstract

A novel Bayesian approach significantly accelerates data collection for metal oxide reduction/re-oxidation thermodynamic fitting.

Funder

Advanced Scientific Computing Research

Office of Energy Efficiency and Renewable Energy

U.S. Department of Energy

Office of Science

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/TA/D3TA06627D

Reference74 articles.

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3. Air separation and selective oxygen pumping via temperature and pressure swing oxygen adsorption using a redox cycle of SrFeO3 perovskite

4. Chemical Looping Air Separation Using a Perovskite-Based Oxygen Sorbent: System Design and Process Analysis

5. Chemical looping air separation with Sr0.8Ca0.2Fe0.9Co0.1O3-δ perovskite sorbent: Packed bed modeling, verification, and optimization

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