BetaCitation Atlas

RESEARCH PAPER · Journal of Materials Chemistry A · 2022

Machine-learning-assisted prediction of long-term performance degradation on solid oxide fuel cell cathodes induced by chromium poisoning

Kaichuang Yang, Jiapeng Liu, Yuhao Wang, Xiangcheng Shi, Jingle Wang, Qiyang Lu, Francesco Ciucci, Zhibin Yang

Read original paper ↗

See where this research leads.

41 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Machine-learning-assisted prediction of long-term performance degradation on solid oxide fuel cell cathodes induced by chromium poisoningOriginalArtificial intelligence in accelerating the development of air electrode materials for proton conducting solid oxide cells0Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies65Cobalt-free perovskite Ba0.95La0.05FeO3-δ as efficient and durable oxygen electrode for solid oxide electrolysis cells23Advances and challenges in developing protonic ceramic cells40Overcoming a recent impasse in the application of artificial neural networks as solid oxide fuel cells simulator with computational topology15Prediction of fuel cell performance degradation using a combined approach of machine learning and impedance spectroscopy47AI-enabled materials discovery for advanced ceramic electrochemical cells28Theoretical and Experimental Study of the Distribution of Capacitive Times1Local electrochemical and thermal investigation of a segmented reversible solid oxide fuel cell and electrolyzer14From theory to practice: Unlocking the distribution of capacitive times in electrochemical impedance spectroscopy47Advances and challenges in high-performance cathodes for protonic solid oxide fuel cells and machine learning-guided perspectives57Systematic and predictive trends to chromium poisoning in solid oxide fuel cell cathodes5Tuning the thermo-mechanical synergies effect of solid oxide fuel cells with negative thermal expansion NdMnO3 in La0.6Sr0.4Co0.2Fe0.8O3-δ-based symmetric electrode24Impact of Electrochemical Impedance Spectroscopy Dataset Curation on Solid Oxide Cell Degradation Assessment5Advancing electrochemical impedance analysis through innovations in the distribution of relaxation times method457Enhanced temporal prediction of electrochemical impedance spectroscopy using long short-term memory neural networks10Machine-learning-assisted prediction of highly active and stable PrBaCo 2 O 5+ δ -based oxygen electrodes for solid oxide cells3Recent advances in perovskite air electrode materials for protonic solid oxide electrochemical cells52Machine Learning for the Optimization and Performance Prediction of Solid Oxide Electrolysis Cells: A Review24How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell?9Gaussian Processes for Fast and Accurate Measurements of the Polarization Resistance of Hydrogen Fuel Cells from Impedance Spectroscopy5A review of electrode poisoning in fuel Cells: Strategies for mitigation and performance enhancement11Advanced fabrication strategies for Durable, High-Efficiency, and scalable solid oxide fuel cells25Energy related application of metal oxide-supported metal nanoparticles0Chromium Poisoning in Solid Oxide Fuel Cells: Mechanisms, Advanced Characterizations, Mitigation, and Recovery Strategies3An attempt toward machine learning-driven optimization of manufacturing processes for metal-supported solid oxide fuel cells using nickel and iron oxides as raw support materials0State-of-health forecasting of solid oxide fuel cells using physics-informed temporal graph convolutional network4Elucidating the role of interfacial charge transfer on the oxygen incorporation/evolution reactions for solid oxide cells7Air electrode materials development for solid oxide cells0Trustworthy AI-Guided Transfer Learning for Cross-Architecture Prediction of Solid Oxide Fuel Cells0Data-driven machine learning modelling for the manufacturing of the fuel electrode support in solid oxide cells1Three decades of solid oxide fuel cell research: trends, challenges & future directions3Operando Techniques for the Study of Solid Oxide Fuel Cells: A Review2A highly active and durable bifunctional spinel-based composite cathode for solid oxide electrochemical cells0Machine learning-enabled design and lifetime prediction of solid oxide fuel cells2Review of timescale distributions for electrochemical impedance spectroscopy analysis: Advantages, synergies, and future directions1Solid Oxide Fuel Cell System Control: A Comprehensive Review of Objectives, Strategies, and Challenges0Multiphase Temperature Estimation Method for Solid Oxide Fuel Cells Based on an Adaptive Cascaded Sliding Mode Observer0Physics-Anchored Dual Network for Conditional SOFC Health-Indicator Trajectory Forecasting Under Variable-Load Operation0Anion doping induced lattice contraction retarding Sr segregation for highly active and stable tubular reversible solid oxide cell air electrode0Machine learning-based diagnosis and health monitoring of solid oxide fuel cells using electrochemical impedance spectroscopy under multiple failure modes0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

41 direct citing papers saved.

  1. Artificial intelligence in accelerating the development of air electrode materials for proton conducting solid oxide cells

    Materials Lab · 2023-01-01

    Ning Wang

    Read original paper ↗ ·

  2. Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies

    Energies · 2023-01-10

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

    Read original paper ↗ ·

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

    International Journal of Hydrogen Energy · 2023-04-18

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

    Read original paper ↗ ·

  4. Advances and challenges in developing protonic ceramic cells

    Materials Today Energy · 2023-07-13

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

    Read original paper ↗ ·

  5. Overcoming a recent impasse in the application of artificial neural networks as solid oxide fuel cells simulator with computational topology

    Energy and AI · 2023-07-27

    Grzegorz Adam Brus

    Read original paper ↗ ·

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

    Journal of Energy Chemistry · 2023-09-01

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

    Read original paper ↗ ·

  7. AI-enabled materials discovery for advanced ceramic electrochemical cells

    Energy and AI · 2023-11-09

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

    Read original paper ↗ ·

  8. Theoretical and Experimental Study of the Distribution of Capacitive Times

    ChemRxiv · 2023-11-16

    Baptiste Py, Adeleke Maradesa, Francesco Ciucci

    Read original paper ↗ ·

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

    Electrochimica Acta · 2023-12-04

    Hamza Moussaoui, Audrey Wesoly, S. Diethelm, Zacharie Wuillemin, Dario Montinaro, Jan Van herle

    Read original paper ↗ ·

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

    Electrochimica Acta · 2023-12-29

    Baptiste Py, Adeleke Maradesa, Francesco Ciucci

    Read original paper ↗ ·

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

    Nano Energy · 2024-01-17

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

    Read original paper ↗ ·

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

    Journal of Power Sources · 2024-03-27

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

    Read original paper ↗ ·

  13. 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

    Chemical Engineering Journal · 2024-05-08

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

    Read original paper ↗ ·

  14. Impact of Electrochemical Impedance Spectroscopy Dataset Curation on Solid Oxide Cell Degradation Assessment

    Journal of The Electrochemical Society · 2024-05-28

    Christian Mänken, Jan Uecker, Dominik Schäfer, Lambertus G. J. de Haart, Rüdiger‐A. Eichel

    Read original paper ↗ ·

  15. Advancing electrochemical impedance analysis through innovations in the distribution of relaxation times method

    Joule · 2024-06-07

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

    Read original paper ↗ ·

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

    Electrochimica Acta · 2024-10-17

    Zewei Lyu, Anna Ściążko, Naoki Shikazono, Minfang Han

    Read original paper ↗ ·

  17. Machine-learning-assisted prediction of highly active and stable PrBaCo 2 O 5+ δ -based oxygen electrodes for solid oxide cells

    Journal of Materials Chemistry A · 2025-01-01

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

    Read original paper ↗ ·

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

    Energy & Environmental Science · 2025-01-01

    Cancan Peng, Xu Han, Sebete S. Mabaleha, Philip C.W. Kwong, Yao Zheng, Xiaoyong Xu

    Read original paper ↗ ·

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

    Processes · 2025-03-16

    Mahmoud Makki Abadi, Mohammad Mehdi Rashidi

    Read original paper ↗ ·

  20. How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell?

    Journal of Materials Informatics · 2025-03-22

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

    Read original paper ↗ ·

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

    Journal of The Electrochemical Society · 2025-06-25

    Baptiste Py, Chuan Zhao, Francesco Ciucci, Quentin P.-G. Meyer

    Read original paper ↗ ·

  22. A review of electrode poisoning in fuel Cells: Strategies for mitigation and performance enhancement

    Journal of Power Sources · 2025-07-18

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

    Read original paper ↗ ·

  23. Advanced fabrication strategies for Durable, High-Efficiency, and scalable solid oxide fuel cells

    Fuel · 2025-11-20

    Abid Ullah, Shahbaz Ahmad, Tahir Ali, Ayesha Samreen, Saim Saher, Muhammad Zulqarnain Arif, Arunachala M. Kannan

    Read original paper ↗ ·

  24. Energy related application of metal oxide-supported metal nanoparticles

    Elsevier eBooks · 2025-11-29

    F. Eylul Sarac Oztuna, Thomas Götsch, Marco Favaro, Emilia Andrea Carbonio

    Read original paper ↗ ·

  25. Chromium Poisoning in Solid Oxide Fuel Cells: Mechanisms, Advanced Characterizations, Mitigation, and Recovery Strategies

    Advanced Functional Materials · 2025-12-06

    Chenhong Sha, Xiaohu Zheng, Zuoqing Liu, Haosong Di, Ming Xiao, Ran Ran, Wei Zhou, Guangming Yang

    Read original paper ↗ ·

  26. An attempt toward machine learning-driven optimization of manufacturing processes for metal-supported solid oxide fuel cells using nickel and iron oxides as raw support materials

    Journal of Alloys and Metallurgical Systems · 2025-12-09

    Hirofumi Sumi, Mizuki Momai, Yuki Yamaguchi

    Read original paper ↗ ·

  27. State-of-health forecasting of solid oxide fuel cells using physics-informed temporal graph convolutional network

    Journal of Power Sources · 2025-12-09

    Zeynab Salehi, Alireza Salahi, Masood Fakouri Hasanabadi, Amir Reza Hanifi, Daniel J. B. Smith, Charles Robert Koch, Mahdi Shahbakhti

    Read original paper ↗ ·

  28. Elucidating the role of interfacial charge transfer on the oxygen incorporation/evolution reactions for solid oxide cells

    Nature Communications · 2025-12-11

    Kaichuang Yang, Jie Zheng, Ying Lu, Ziyun Zhang, Hui Zhang, Zhi Liu, Qiyang Lu

    Read original paper ↗ ·

  29. Air electrode materials development for solid oxide cells

    Elsevier eBooks · 2026-01-01

    Yucun Zhou, Zheyu Luo, M. LIU

    Read original paper ↗ ·

  30. Trustworthy AI-Guided Transfer Learning for Cross-Architecture Prediction of Solid Oxide Fuel Cells

    SSRN Electronic Journal · 2026-01-01

    Shiqing Li, Jianwei Li, Qingqing Yang, Weitao Zhou, Luqiao Yao

    Read original paper ↗ ·

  31. Data-driven machine learning modelling for the manufacturing of the fuel electrode support in solid oxide cells

    Energy and AI · 2026-01-29

    Tan Le Dinh, Hartmut Schlenz, Norbert Heribert Menzler, Alejandro A. Franco, Olivier Guillon

    Read original paper ↗ ·

  32. Three decades of solid oxide fuel cell research: trends, challenges & future directions

    Journal of Solid State Electrochemistry · 2026-02-09

    Osaze Omoregbe, Abarasi Hart, Ifeanyichukwu Daniel Unachukwu, Ebuwa I. Osagie, Samuel Emebu, Elimian Ehiaghe, Mark D. Ogden

    Read original paper ↗ ·

  33. Operando Techniques for the Study of Solid Oxide Fuel Cells: A Review

    Chemistry of Materials · 2026-05-01

    Cameron M. Priest, Jeffrey C. Owrutsky, Keegan Walker, Robert A. Walker, William Antonio Maza

    Read original paper ↗ ·

  34. A highly active and durable bifunctional spinel-based composite cathode for solid oxide electrochemical cells

    Chemical Engineering Journal · 2026-05-16

    Chuangang Yao, Zhe Zhang, Haixia Zhang, Jingyi Ding, Li Zhang, Yuxi Sun, Wenwen Zhang, Kedi Cai

    Read original paper ↗ ·

  35. Machine learning-enabled design and lifetime prediction of solid oxide fuel cells

    Journal of Materials Informatics · 2026-05-19

    Shimeng Kang, Yunjia Cui, Bin Miao, Zhihua Deng, Xuerui Zhang, Haolong Li, Haijun Zhong, Siyu Liu, Yexin Zhou, Siew Hwa Chan, Zheng Zhong, Zehua Pan

    Read original paper ↗ ·

  36. Review of timescale distributions for electrochemical impedance spectroscopy analysis: Advantages, synergies, and future directions

    DeCarbon · 2026-06-24

    Baptiste Py, Fei Wang, John Wang, Maurizio Filippone, Francesco Ciucci

    Read original paper ↗ ·

  37. Solid Oxide Fuel Cell System Control: A Comprehensive Review of Objectives, Strategies, and Challenges

    Protection and Control of Modern Power Systems · 2026-07-01

    Jie Peng, Zhao Yuan, Zi Wang, Jingang Lai, Yuanzheng Li, X P Wu, Yuanwu Xu, Guoqiang Liu, Xi Li

    Read original paper ↗ ·

  38. Multiphase Temperature Estimation Method for Solid Oxide Fuel Cells Based on an Adaptive Cascaded Sliding Mode Observer

    Power System and Green Energy Conference (PSGEC) · 2026-08-01

    Ziyi Yang, Yaliang Pan, Lu Lu, Manting Zhang, Chonghui Liu, Binyu Xiong

    Read original paper ↗ ·

  39. Physics-Anchored Dual Network for Conditional SOFC Health-Indicator Trajectory Forecasting Under Variable-Load Operation

    Energies · 2026-08-03

    Tao Zhang, Zhixiang Liu, Jingxiang Xu

    Read original paper ↗ ·

  40. Anion doping induced lattice contraction retarding Sr segregation for highly active and stable tubular reversible solid oxide cell air electrode

    Journal of Power Sources · 2026-08-18

    Yuan Gao, Bo Wei, Yanan Liu, Tian Li, Abdalla M. Abdalla, Yihan Ling

    Read original paper ↗ ·

  41. Machine learning-based diagnosis and health monitoring of solid oxide fuel cells using electrochemical impedance spectroscopy under multiple failure modes

    Journal of Power Sources · 2026-10-08

    Zeynab Salehi, Sayedabbas Sobhi, Saeed Hanifi, Daniel J. B. Smith, Amir Reza Hanifi, Mahdi Shahbakhti

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.