A predictive approach for the compositional and temperature representation of thermal conductivity in multicomponent molten salt systems for advanced energy applications

Huiqiang Yang, Ryan C. Gallagher, Anh-Thu Phan, Patrice Chartrand, Aïmen E. Gheribi

Article (2023)

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Department:
Department of Chemical Engineering
Research Center:
CRCT - Centre for Research in Computational Thermochemistry
PolyPublie URL:
https://lx-publications2.polymtl.ca/56968/
Journal Title :
Materials Today Energy ( vol. 38 )
Publisher:
Elsevier Ltd
DOI:
10.1016/j.mtener.2023.101441
Official URL:
https://doi.org/10.1016/j.mtener.2023.101441
OAI:
oai:publications.polymtl.ca:56968
ORCID
Date Deposited:
20 Dec 2023 11:33
Last Modified:
02 Oct 2026 23:55
Cite in APA 7:
Yang, H., Gallagher, R. C., Phan, A.-T., Chartrand, P., & Gheribi, A. E. (2023). A predictive approach for the compositional and temperature representation of thermal conductivity in multicomponent molten salt systems for advanced energy applications. Materials Today Energy, 38, 23 pages. https://doi.org/10.1016/j.mtener.2023.101441

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