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RESEARCH PAPER · Journal of Membrane Science · 2021

A deep learning protocol for analyzing and predicting ionic conductivity of anion exchange membranes

Fu-Heng Zhai, Qing-Qing Zhan, Yunfei Yang, Niya Ye, Ruiying Wan, Jin Wang, Shuai Chen, Ronghuan He

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A deep learning protocol for analyzing and predicting ionic conductivity of anion exchange membranesOriginalTuning hydrophobic composition in terpolymer-based anion exchange membranes to balance conductivity and stability14Correlation between the Stability of Substituted Cobaltocenium and Molecular Descriptors5Predicting the Fluorescence Properties of Hairpin-DNA-Templated Silver Nanoclusters via Deep Learning20Materials discovery of ion-selective membranes using artificial intelligence30Computational Approaches to Alkaline Anion-Exchange Membranes for Fuel Cell Applications17Electrochemical Conversion of CO2 to CO Utilizing Quaternized Polybenzimidazole Anion Exchange Membrane9Unsupervised Learning‐Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells45Unsupervised Learning‐Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells2Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges20Functional groups in anion exchange membranes: Insights from Ab initio molecular dynamics17Anion Exchange Membranes for Fuel Cells: Equilibrium Water Content and Conductivity Characterization39Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models15Artificial intelligence-based optimization for ring-opening metathesis polymerization of proton exchange membrane13Theoretical Examination of the Hydroxide Transport in Cobaltocenium-Containing Polyelectrolytes5Expert-augmented machine learning to accelerate the discovery of copolymers for anion exchange membrane20Computational Approaches to Alkaline Anion Exchange Membranes6Unsupervised Machine Learning‐Derived Anion‐Exchange Membrane Polymers Map: A Guideline for Polymers Exploration and Design7Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation95Ionomeric binders in polymer electrolyte fuel cells: roles, challenges, and advances19Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm86Machine Learning for Prediction and Synthesis of Anion Exchange Membranes11Block poly(arylene ether sulfone) with built-in alkyl chain for comb-shaped anion exchange membranes8An attention-enhanced deep learning framework for Designing alkaline anion exchange membranes6Opportunities and perspectives of artificial intelligence in electrocatalysts design for water electrolysis13Uncovering Structure–Conductivity Relationships in Anion Exchange Membranes (AEMs) Using Interpretable Machine Learning3Application of Artificial Intelligence in Mathematical Modeling and Numerical Investigation of Transport Processes in Electromembrane Systems1Dimensionally stable microporous Tröger's base polymer anion exchange membranes with high ion conduction efficiency2Bidirectional Reinforcement of the CoAl-LDH-Doped Poly(aryl ether nitrile) Anion Exchange Membrane for Water Electrolysis0Feature-augmented machine-learning guided insights into cationic groups and alkaline-resistant mechanism of anion exchange membranes for water electrolysis0Explainable machine learning and multi-objective optimization polyacrylonitrile based cation exchange membrane for electrodialysis desalination0In silico design of polybenzimidazole-based high-temperature proton exchange membranes via machine learning and molecular dynamics0

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31 direct citing papers saved.

  1. Tuning hydrophobic composition in terpolymer-based anion exchange membranes to balance conductivity and stability

    Molecular Systems Design & Engineering · 2022-01-01

    Yoshihiro Ozawa, Yuto Shirase, Kanji Otsuji, Kenji Miyatake

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  2. Correlation between the Stability of Substituted Cobaltocenium and Molecular Descriptors

    The Journal of Physical Chemistry A · 2022-01-02

    Shehani T. Wetthasinghe, Chunyan Li, Huina Lin, Tianyu Zhu, Chuanbing Tang, Vitaly A. Rassolov, Qi Wang, Sophya V. Garashchuk

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  3. Predicting the Fluorescence Properties of Hairpin-DNA-Templated Silver Nanoclusters via Deep Learning

    ACS Applied Nano Materials · 2022-07-05

    Fu-Heng Zhai, Yufei Guan, Yuanyuan Li, Shuai Chen, Ronghuan He

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  4. Materials discovery of ion-selective membranes using artificial intelligence

    Communications Chemistry · 2022-10-20

    Reza Maleki, Seyed Mohammadreza Shams, Yasin Mehdizadeh Chellehbari, Sima Rezvantalab, Ahmad Miri Jahromi, Mohsen Asadnia, Rouzbeh Abbassi, Tejraj Malleshappa Aminabhavi, Amir Razmjou

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  5. Computational Approaches to Alkaline Anion-Exchange Membranes for Fuel Cell Applications

    Membranes · 2022-10-27

    Cecil Naphtaly Moro Ouma, Kingsley Onyebuchi Obodo, Dmitri Bessarabov

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  6. Electrochemical Conversion of CO2 to CO Utilizing Quaternized Polybenzimidazole Anion Exchange Membrane

    Membranes · 2023-01-29

    Jingfeng Li, Jingfeng Li, Zeyu Cao, Bo Zhang, Xinai Zhang, Jinchao Li, Jinchao Li, Yaping Zhang, Hao Duan

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  7. Unsupervised Learning‐Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells

    Angewandte Chemie International Edition · 2023-03-10

    Xiuyang Zou, Guodong Xu, Pengda Fang, Weizheng Li, Zhiyu Jin, Siyu Guo, Yin Hu, Meisheng Li, Ji Sheng Pan, Zhe Sun, Feng Yan

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  8. Unsupervised Learning‐Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells

    Angewandte Chemie · 2023-03-10

    Xiuyang Zou, Guodong Xu, Pengda Fang, Weizheng Li, Zhiyu Jin, Siyu Guo, Yin Hu, Meisheng Li, Ji Sheng Pan, Zhe Sun, Feng Yan

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  9. Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges

    APL Machine Learning · 2023-04-07

    Dazi Li, Yi Ru, Zhudan Chen, Caibo Dong, Yining Dong, Jun Liu

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  10. Functional groups in anion exchange membranes: Insights from Ab initio molecular dynamics

    Journal of Membrane Science · 2023-04-14

    Tamar E. Zelovich, Dario R. Dekel, Mark E. Tuckerman

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  11. Anion Exchange Membranes for Fuel Cells: Equilibrium Water Content and Conductivity Characterization

    Advanced Functional Materials · 2023-05-28

    Zixuan Wang, Kai Chen, Jiahao Han, Xiyuan Zhang, Bowen Wang, Qing Du, Kui Jiao

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  12. Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models

    Science and Technology of Advanced Materials · 2023-10-03

    Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

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  13. Artificial intelligence-based optimization for ring-opening metathesis polymerization of proton exchange membrane

    Journal of Polymer Research · 2023-10-26

    Zhiming Feng, Shan Jin, Hang Xiang, Da Li, Shuai Sun, Huagui Zhang, Yi Chen

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  14. Theoretical Examination of the Hydroxide Transport in Cobaltocenium-Containing Polyelectrolytes

    The Journal of Physical Chemistry B · 2023-11-16

    Sachith Wickramasinghe, Alexandria Hoehn, Shehani T. Wetthasinghe, Huina Lin, Qi Wang, Jacek Jakowski, Vitaly A. Rassolov, Chuanbing Tang, Sophya V. Garashchuk

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  15. Expert-augmented machine learning to accelerate the discovery of copolymers for anion exchange membrane

    Journal of Membrane Science · 2023-12-11

    Lunyang Liu, Yunqi Li, Jifu Zheng, Hongfei Li

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  16. Computational Approaches to Alkaline Anion Exchange Membranes

    Unknown journal · 2024-02-09

    Minu Elizabeth Thomas

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  17. Unsupervised Machine Learning‐Derived Anion‐Exchange Membrane Polymers Map: A Guideline for Polymers Exploration and Design

    ChemElectroChem · 2024-07-15

    Yin Kan Phua, Nana Terasoba, Manabu Tanaka, Tsuyohiko Fujigaya, Koichiro Kato

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  18. Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

    Environmental Science & Technology · 2024-12-16

    Raghav Dangayach, Nohyeong Jeong, Elif Demirel, Niğmet Uzal, Victor Fung, Yongsheng Chen

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  19. Ionomeric binders in polymer electrolyte fuel cells: roles, challenges, and advances

    Chemical Society Reviews · 2025-01-01

    Weisheng Yu, Fen Luo, Xian Liang, Chenxiao Jiang, Yan Xu, Zhiru Liu, Quan‐Fu An, Michael D. Guiver, Liang Wu, Tongwen Xu

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  20. Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm

    SmartMat · 2025-01-09

    Chunhui Xie, Haoke Qiu, Lu Liu, Yang You, Hongfei Li, Yunqi Li, Zhao‐Yan Sun, Jiaping Lin, Lijia An

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  21. Machine Learning for Prediction and Synthesis of Anion Exchange Membranes

    Accounts of Materials Research · 2025-01-17

    Yongjiang Yuan, Pengda Fang, Han Yuan, Xiuyang Zou, Zhe Sun, Feng Yan

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  22. Block poly(arylene ether sulfone) with built-in alkyl chain for comb-shaped anion exchange membranes

    International Journal of Hydrogen Energy · 2025-04-08

    Shuchun Li, Ao Nan Lai, Qiuxiang Wang, Peng Cheng Hu, Shu Feng Zhou

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  23. An attention-enhanced deep learning framework for Designing alkaline anion exchange membranes

    Journal of Membrane Science · 2025-05-27

    Ye Hu, Zijun Xiao, Deming Xia, Bo Pang, Xiaoming Yan, Xuemei Wu, Wanting Chen, Gaohong He

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  24. Opportunities and perspectives of artificial intelligence in electrocatalysts design for water electrolysis

    Energy and AI · 2025-09-02

    Qing Wang, Lizhen Wu, Qiang Zheng, Liang An

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  25. Uncovering Structure–Conductivity Relationships in Anion Exchange Membranes (AEMs) Using Interpretable Machine Learning

    Membranes · 2025-12-31

    Pegah Naghshnejad, Debojyoti Das, José A. Romagnoli, Revati Kumar, Jianhua Chen

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  26. Application of Artificial Intelligence in Mathematical Modeling and Numerical Investigation of Transport Processes in Electromembrane Systems

    Membranes · 2026-01-12

    Казаковцева Екатерина Васильевна, Evgeniya V. Kirillova, Anna Vladimirovna Kovalenko, Mahamet K. Urtenov

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  27. Dimensionally stable microporous Tröger's base polymer anion exchange membranes with high ion conduction efficiency

    Journal of Membrane Science · 2026-03-05

    Yijie Fang, Ruiyan Xiong, Hukang Guo, Weilin Feng, Baodong Tian, Yige Song, Huawei Shi, Yueni Li, Zhiyi Li, Zhiyi Li, Zhiyi Li, Mengmeng Fang, Jiaqi Li, Liping Zhu

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  28. Bidirectional Reinforcement of the CoAl-LDH-Doped Poly(aryl ether nitrile) Anion Exchange Membrane for Water Electrolysis

    ACS Applied Polymer Materials · 2026-04-16

    Wei Zhao, Sihan Li, Ping Zhang, Jing Yang, Yuxing Han, Zulin Ding, Yingqing Zhan

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  29. Feature-augmented machine-learning guided insights into cationic groups and alkaline-resistant mechanism of anion exchange membranes for water electrolysis

    Journal of Energy Chemistry · 2026-08-11

    Sheng Guo, Wendong Liu, Xinyang Zhao, Luyao Liu, Linyi Zhao, Xiang Li, Menghao Yang, Liming Jin, Quan Zhou, Jie Chen, Cunman Zhang, Zhen Geng

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  30. Explainable machine learning and multi-objective optimization polyacrylonitrile based cation exchange membrane for electrodialysis desalination

    Electrochimica Acta · 2026-08-18

    Pankaj D. Indurkar, Prashant Kumar, Atul V. Maldhure, Stavan Revisaheb, Vaibhav Kulshrestha

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  31. In silico design of polybenzimidazole-based high-temperature proton exchange membranes via machine learning and molecular dynamics

    Journal of Membrane Science · 2026-09-25

    Jiajie Fang, Morigen Zhao, Sisi Cheng, Zhi Mao, Yu Liu, Qi Zhang, Haining Wang, Shanfu Lu, Yan Xiang

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