Machine Learning Tailored Anodes for Efficient Hydrogen Energy Generation in Proton-Conducting Solid Oxide Electrolysis Cells DOI Creative Commons
Fangyuan Zheng, Baoyin Yuan, Youfeng Cai

и другие.

Nano-Micro Letters, Год журнала: 2025, Номер 17(1)

Опубликована: Май 23, 2025

Abstract In the global trend of vigorously developing hydrogen energy, proton-conducting solid oxide electrolysis cells (P-SOECs) have attracted significant attention due to their advantages high efficiency and not requiring precious metals. However, application P-SOECs faces challenges, particularly in high-performance anodes possessing both catalytic activity ionic conductivity. this study, La 0.9 Ba 0.1 Co 0.7 Ni 0.3 O 3− δ (LBCN9173) Ca (LCCN9173) oxides are tailored as promising by machine learning model, achieving synergistic enhancement water oxidation reaction kinetics proton conduction, which is confirmed comprehensively analyzing experiment density functional theory calculation results. Furthermore, anodic mechanisms for with these elucidated distribution relaxation time spectra Gibbs energy reaction, manifesting that dissociation H 2 facilitated on LBCN9173 anode. As a result, P-SOEC anode demonstrates top-rank current 2.45 A cm −2 at 1.3 V an extremely low polarization resistance 0.05 Ω 650 °C. This multi-scale, multi-faceted research approach only discovered but also proved robust framework learning-assisted design P-SOECs.

Язык: Английский

A Review of Nanofiber Electrodes and the In Situ Exsolution of Nanoparticles for Solid Oxide Cells DOI Open Access
Jakub Lach,

Michał Gogacz,

Piotr Winiarz

и другие.

Materials, Год журнала: 2025, Номер 18(6), С. 1272 - 1272

Опубликована: Март 13, 2025

Solid oxide cells (SOCs) can operate efficiently in solid fuel cell (SOFC) and/or electrolysis (SOEC) modes, and are one of the most promising electrochemical devices for energy conversion storage, facilitating integration renewable energies with electric grid. However, SOC electrodes suffer performance stability issues, especially case when SOCs fueled by cheaper more available fuels such as methane natural gas. Typical Ni-YSZ cermet problems coarsening, carbon deposition, sulfur poisoning. Therefore, developing new using novel design strategies is crucial. In this review work, electrode development including situ exsolution nanoparticles, multi-elemental nanocatalysts, nanofiber materials have been reviewed summarized SOCs. Nanofiber exsolved which combine advantages a unique microstructure stable active great interest significantly contribute to high-performance

Язык: Английский

Процитировано

0
Machine Learning Tailored Anodes for Efficient Hydrogen Energy Generation in Proton-Conducting Solid Oxide Electrolysis Cells DOI Creative Commons
Fangyuan Zheng, Baoyin Yuan, Youfeng Cai

и другие.

Nano-Micro Letters, Год журнала: 2025, Номер 17(1)

Опубликована: Май 23, 2025

Abstract In the global trend of vigorously developing hydrogen energy, proton-conducting solid oxide electrolysis cells (P-SOECs) have attracted significant attention due to their advantages high efficiency and not requiring precious metals. However, application P-SOECs faces challenges, particularly in high-performance anodes possessing both catalytic activity ionic conductivity. this study, La 0.9 Ba 0.1 Co 0.7 Ni 0.3 O 3− δ (LBCN9173) Ca (LCCN9173) oxides are tailored as promising by machine learning model, achieving synergistic enhancement water oxidation reaction kinetics proton conduction, which is confirmed comprehensively analyzing experiment density functional theory calculation results. Furthermore, anodic mechanisms for with these elucidated distribution relaxation time spectra Gibbs energy reaction, manifesting that dissociation H 2 facilitated on LBCN9173 anode. As a result, P-SOEC anode demonstrates top-rank current 2.45 A cm −2 at 1.3 V an extremely low polarization resistance 0.05 Ω 650 °C. This multi-scale, multi-faceted research approach only discovered but also proved robust framework learning-assisted design P-SOECs.

Язык: Английский

Процитировано

0