Optimization of porous structures via machine learning for solar thermochemical fuel production-Reference-Cited by-同舟云学术

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Optimization of porous structures via machine learning for solar thermochemical fuel production

Published:2024-08 Issue: Volume: Page:
ISSN:1002-0071
Container-title:Progress in Natural Science: Materials International
language:en
Short-container-title:Progress in Natural Science: Materials International

Author:

Xu Da,Zhao Lei,Lin Meng^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Solar-driven gasification of carbonaceous feedstock - a review;Piatkowski;Energy Environ. Sci.,2011

2. Surface controlled reduction kinetics of nominally undoped polycrystalline CeO2;Knoblauch;Phys. Chem. Chem. Phys.,2015

3. Efficient ceria nanostructures for enhanced solar fuel production via high-temperature thermochemical redox cycles;Gao;J Mater Chem A Mater,2016

4. Solar-Driven thermochemical splitting of CO2 and in situ separation of CO and O2 across a ceria redox membrane reactor;Tou;Joule,2017

5. Solar thermochemical splitting of CO2 into separate streams of CO and O2 with high selectivity, stability, conversion, and efficiency;Marxer;Energy Environ. Sci.,2017

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