Machine-learning-assisted prediction of highly active and stable PrBaCo2O5+δ-based oxygen electrodes for solid oxide cells

Min Zhang, Jiayue Liu, Yaozong Yang, Xianyu Wang, Zhihong Du and Hailei Zhao

J. Mater. Chem. A, 2025
DOI: 10.1039/D5TA05732A

Recent advances in perovskite air electrode materials for protonic solid oxide electrochemical cells

Cancan Peng, Xu Han, Sebete Mabaleha, Philip Kwong, Yao Zheng and Xiaoyong Xu

Energy Environ. Sci., 2025, 18, 4555
DOI: 10.1039/D5EE00983A

From theory to practice: Unlocking the distribution of capacitive times in electrochemical impedance spectroscopy

Baptiste Py, Adeleke Maradesa and Francesco Ciucci

Electrochimica Acta, 2024, 479, 143741
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Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies

Jingxuan Peng, Dongqi Zhao, Yuanwu Xu, Xiaolong Wu and Xi Li

Energies, 2023, 16, 788
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Advances and challenges in developing protonic ceramic cells

Donguk Kim, Tae Kyeong Lee, Seungwoo Han, Yuhan Jung, Dong Gyu Lee, Mingi Choi and Wonyoung Lee

Materials Today Energy, 2023, 36, 101365
DOI: 10.1016/j.mtener.2023.101365

Cobalt-free perovskite Ba0.95La0.05FeO3-δ as efficient and durable oxygen electrode for solid oxide electrolysis cells

Kaichuang Yang, Yuhao Wang, Lin Jiang, Yiqian Jin and Zhibin Yang

International Journal of Hydrogen Energy, 2023, 48, 27464
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Advancing electrochemical impedance analysis through innovations in the distribution of relaxation times method

Adeleke Maradesa, Baptiste Py, Jake Huang, Yang Lu, Pietro Iurilli, Aleksander Mrozinski, Ho Mei Law, Yuhao Wang, Zilong Wang, Jingwei Li, Shengjun Xu, Quentin Meyer, Jiapeng Liu, Claudio Brivio, Alexander Gavrilyuk, Kiyoshi Kobayashi, Antonio Bertei, Nicholas J. Williams, Chuan Zhao, Michael Danzer, Mark Zic, Phillip Wu, Ville Yrjänä, Sergei Pereverzyev, Yuhui Chen, André Weber, Sergei V. Kalinin, Jan Philipp Schmidt, Yoed Tsur, Bernard A. Boukamp, Qiang Zhang, Miran Gaberšček, Ryan O’Hayre and Francesco Ciucci

Joule, 2024, 8, 1958
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Overcoming a recent impasse in the application of artificial neural networks as solid oxide fuel cells simulator with computational topology

Grzegorz Brus

Energy and AI, 2023, 14, 100291
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How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell?

Baoyin Yuan, Xiaohan Zhang, Chunmei Tang, Ning Wang and Siyu Ye

J. Mater. Inf., 2025, 5
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Impact of Electrochemical Impedance Spectroscopy Dataset Curation on Solid Oxide Cell Degradation Assessment

Christian Mänken, Jan Uecker, Dominik Schäfer, L. G. J. (Bert) de Haart and Rüdiger-A. Eichel

J. Electrochem. Soc., 2024, 171, 064503
DOI: 10.1149/1945-7111/ad510c

Machine Learning for the Optimization and Performance Prediction of Solid Oxide Electrolysis Cells: A Review

Mahmoud Makki Abadi and Mohammad Mehdi Rashidi

Processes, 2025, 13, 875
DOI: 10.3390/pr13030875

Advances and challenges in high-performance cathodes for protonic solid oxide fuel cells and machine learning-guided perspectives

Baoyin Yuan, Ning Wang, Chunmei Tang, Ling Meng, Lei Du, Qingwen Su, Yoshitaka Aoki and Siyu Ye

Nano Energy, 2024, 122, 109306
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AI-enabled materials discovery for advanced ceramic electrochemical cells

Idris Temitope Bello, Ridwan Taiwo, Oladapo Christopher Esan, Adesola Habeeb Adegoke, Ahmed Olanrewaju Ijaola, Zheng Li, Siyuan Zhao, Chen Wang, Zongping Shao and Meng Ni

Energy and AI, 2024, 15, 100317
DOI: 10.1016/j.egyai.2023.100317

Enhanced temporal prediction of electrochemical impedance spectroscopy using long short-term memory neural networks

Zewei Lyu, Anna Sciazko, Naoki Shikazono and Minfang Han

Electrochimica Acta, 2024, 508, 145227
DOI: 10.1016/j.electacta.2024.145227

Gaussian Processes for Fast and Accurate Measurements of the Polarization Resistance of Hydrogen Fuel Cells from Impedance Spectroscopy

Baptiste Py, Chuan Zhao, Francesco Ciucci and Quentin Meyer

J. Electrochem. Soc., 2025, 172, 074502
DOI: 10.1149/1945-7111/ade82c

Systematic and predictive trends to chromium poisoning in solid oxide fuel cell cathodes

Hokon Kim, Jerry H. Mason, William K. Epting, Harry W. Abernathy, Anthony D. Rollett and Paul A. Salvador

Journal of Power Sources, 2024, 603, 234390
DOI: 10.1016/j.jpowsour.2024.234390

Local electrochemical and thermal investigation of a segmented reversible solid oxide fuel cell and electrolyzer

H. Moussaoui, A. Wesoly, S. Diethelm, Z. Wuillemin, D. Montinaro and J. Van herle

Electrochimica Acta, 2024, 475, 143627
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Artificial intelligence in accelerating the development of air electrode materials for proton conducting solid oxide cells

Ning Wang

MatLab, 2023, 2
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A review of electrode poisoning in fuel Cells: Strategies for mitigation and performance enhancement

Timileyin Aworinde, Wenkai Yang, Lakshya Mathur, Vallimanalan Ashokan and Sivaprakash Sengodan

Journal of Power Sources, 2025, 655, 237901
DOI: 10.1016/j.jpowsour.2025.237901

Tuning the thermo-mechanical synergies effect of solid oxide fuel cells with negative thermal expansion NdMnO3 in La0.6Sr0.4Co0.2Fe0.8O3-δ-based symmetric electrode

Jinqiu Zhang, Kai Song, Yuan Gao, Ruoyu Li, Xing Gao, Dong Tian, Yang Yang and Yihan Ling

Chemical Engineering Journal, 2024, 491, 152063
DOI: 10.1016/j.cej.2024.152063

Prediction of fuel cell performance degradation using a combined approach of machine learning and impedance spectroscopy

Zewei Lyu, Yige Wang, Anna Sciazko, Hangyue Li, Yosuke Komatsu, Zaihong Sun, Kaihua Sun, Naoki Shikazono and Minfang Han

Journal of Energy Chemistry, 2023, 87, 32
DOI: 10.1016/j.jechem.2023.08.028