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RESEARCH PAPER · Journal of Membrane Science · 2017

A statistical study of proton conduction in Nafion®-based composite membranes: Prediction, filler selection and fabrication methods

Lunyang Liu, Wenduo Chen, Yunqi Li

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A statistical study of proton conduction in Nafion®-based composite membranes: Prediction, filler selection and fabrication methodsOriginalImproved conductivity and anti(bio)fouling of cation exchange membranes by AgNPs-GO nanocomposites22Review on hydrogen fuel cell condition monitoring and prediction methods128Rational design of hydrocarbon-based sulfonated copolymers for proton exchange membranes31Cellulose microfibers surface treated with imidazole as new proton conductors33Morphology and proton diffusion in a coarse-grained model of sulfonated poly(phenylenes)23Transport Properties of MF-4SK Membranes Doped with Sulfonated Zirconia3Predicting the performance of polyvinylidene fluoride, polyethersulfone and polysulfone filtration membranes using machine learning62Membrane materials for energy production and storage50The source of conductivity and proton dynamics study in TEMPO-oxidized cellulose doped with various heterocyclic molecules14Interaction, structure and tensile property of swollen Nafion® membranes36Deep Spatial Learning with Molecular Vibration0Deep spatial representation learning of polyamide nanofiltration membranes32New liquid-free proton conductive nanocomposite based on imidazole-functionalized cellulose nanofibers19The influence of poly(3,4‐ethylenedioxythiophene) modification on the transport properties and fuel cell performance of Nafion‐117 membranes16High flexible ether-free semi-crystalline fuel cell membranes: Molecular-level design, assembly structure and properties10A deep learning protocol for analyzing and predicting ionic conductivity of anion exchange membranes31Additivity of the mechanical properties for acrylonitrile‐butadiene‐styrene resins7Exploration of the Polarization Curve for Proton-Exchange Membrane Fuel Cells40Highly accurate prediction of viscosity of epoxy resin and diluent at various temperatures utilizing machine learning31Predicting the Mechanical Properties of Polyurethane Elastomers Using Machine Learning46Data and Machine Learning in Polymer Science25Materials discovery of ion-selective membranes using artificial intelligence30Electrochemical Properties and Structure of Membranes from Perfluorinated Copolymers Modified with Nanodiamonds2Expert-augmented machine learning to accelerate the discovery of copolymers for anion exchange membrane20On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modeling1A Big Data Approach to Explore Core Properties of Waterborne Polyurethane Coatings0Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm86Formulation Design of Frontal Polymerization Systems for Epoxy Resins Based on Machine Learning0A big data approach to explore core properties of waterborne polyurethane coatings1Development strategies and performance evaluation of proton exchange membranes3Machine Learning-Guided Structural Optimization of High-Temperature Polybenzimidazole-Based Phosphonic Acid Proton Exchange Membranes0

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31 direct citing papers saved.

  1. Improved conductivity and anti(bio)fouling of cation exchange membranes by AgNPs-GO nanocomposites

    Journal of Membrane Science · 2018-08-23

    María Irene López-Cázares, F. PEREZ, Jose Rene Rangel-Mendez, Marisol Centeno-Sánchez, Luis F. Cházaro‐Ruiz

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  2. Review on hydrogen fuel cell condition monitoring and prediction methods

    International Journal of Hydrogen Energy · 2018-10-08

    Rongheng Lin, Xue-Nan Xi, Pei-Nan Wang, Budan Wu, Shi-Ming Tian

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  3. Rational design of hydrocarbon-based sulfonated copolymers for proton exchange membranes

    Journal of Materials Chemistry A · 2019-01-01

    Lunyang Liu, Wenduo Chen, Tingli Liu, Xiangxin Kong, Jifu Zheng, Yunqi Li

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  4. Cellulose microfibers surface treated with imidazole as new proton conductors

    Materials Chemistry and Physics · 2019-08-23

    Iga Jankowska, Paweł Ławniczak, K. Pogorzelec-Glaser, Andrzej Łapiński, Radosław Pankiewicz, Jadwiga Tritt‐Goc

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  5. Morphology and proton diffusion in a coarse-grained model of sulfonated poly(phenylenes)

    The Journal of Chemical Physics · 2019-09-09

    Jennifer A. Clark, Erik E. Santiso, Amalie L. Frischknecht

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  6. Transport Properties of MF-4SK Membranes Doped with Sulfonated Zirconia

    Russian Journal of Electrochemistry · 2019-12-01

    Polina A. Yurova, U. S. Aladysheva, И. А. Стенина, A. B. Yaroslavtsev

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  7. Predicting the performance of polyvinylidene fluoride, polyethersulfone and polysulfone filtration membranes using machine learning

    Journal of Materials Chemistry A · 2020-01-01

    Tingli Liu, Lunyang Liu, Fengchao Cui, Fang Ding, Qifeng Zhang, Yunqi Li

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  8. Membrane materials for energy production and storage

    Pure and Applied Chemistry · 2020-02-24

    A. B. Yaroslavtsev, И. А. Стенина, Д. В. Голубенко

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  9. The source of conductivity and proton dynamics study in TEMPO-oxidized cellulose doped with various heterocyclic molecules

    Cellulose · 2020-08-07

    Madalina Elena Culica, Mihaela Avădanei, Raluca Ioana Baron, Andreea Laura Chibac-Scutaru, Mihai Asăndulesa, Gabriela Biliuță, Gabriela Lisă, Sergiu Coseri

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  10. Interaction, structure and tensile property of swollen Nafion® membranes

    Polymer · 2020-11-13

    Ce Shi, Tingli Liu, Wenduo Chen, Fengchao Cui, Lunyang Liu, Yuyang Cai, Yunqi Li

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  11. Deep Spatial Learning with Molecular Vibration

    arXiv (Cornell University) · 2020-11-14

    Zhang, Ziyang, Yingtao Luo

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  12. Deep spatial representation learning of polyamide nanofiltration membranes

    Journal of Membrane Science · 2020-11-14

    Ziyang Zhang, Yingtao Luo, Huawen Peng, Yu Chen, Rong‐Zhen Liao, Qiang Zhao

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  13. New liquid-free proton conductive nanocomposite based on imidazole-functionalized cellulose nanofibers

    Cellulose · 2020-12-02

    Iga Jankowska, K. Pogorzelec-Glaser, Paweł Ławniczak, Michał Matczak, Radosław Pankiewicz

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  14. The influence of poly(3,4‐ethylenedioxythiophene) modification on the transport properties and fuel cell performance of Nafion‐117 membranes

    Journal of Applied Polymer Science · 2021-02-25

    И. А. Стенина, Polina A. Yurova, Tatyana S. Titova, Marina A. Polovkova, Oleg Vyacheslavovich Korchagin, V. A. Bogdanovskaya, A. B. Yaroslavtsev

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  15. High flexible ether-free semi-crystalline fuel cell membranes: Molecular-level design, assembly structure and properties

    Journal of Membrane Science · 2021-03-07

    Shengyang Zhou, Yuyang Cai, Qifeng Zhang, Jifu Zheng, Shenghai Li, Yunqi Li, Suobo Zhang, Yi‐hong Ding

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

    Journal of Membrane Science · 2021-10-15

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

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  17. Additivity of the mechanical properties for acrylonitrile‐butadiene‐styrene resins

    Journal of Applied Polymer Science · 2021-11-17

    Huan Zhang, Fang Ding, Tingli Liu, Lunyang Liu, Yunqi Li

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  18. Exploration of the Polarization Curve for Proton-Exchange Membrane Fuel Cells

    ACS Applied Materials & Interfaces · 2021-12-01

    Lunyang Liu, Tingli Liu, Fang Ding, Huan Zhang, Jifu Zheng, Yunqi Li

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  19. Highly accurate prediction of viscosity of epoxy resin and diluent at various temperatures utilizing machine learning

    Polymer · 2022-08-13

    Haoke Qiu, Wanchen Zhao, Hanwen Pei, Junpeng Li, Zhao‐Yan Sun

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  20. Predicting the Mechanical Properties of Polyurethane Elastomers Using Machine Learning

    Chinese Journal of Polymer Science · 2022-10-08

    Fang Ding, Lun-Yang Liu, Ting-Li Liu, Yunqi Li, Junpeng Li, Zhao‐Yan Sun

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  21. Data and Machine Learning in Polymer Science

    Chinese Journal of Polymer Science · 2022-10-20

    Yunqi Li, Ying Lan Jiang, Liquan Wang, Jianfeng Li

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  22. 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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  23. Electrochemical Properties and Structure of Membranes from Perfluorinated Copolymers Modified with Nanodiamonds

    Membranes · 2023-10-25

    Vasily Timofeevich Lebedev, Yu. V. Kulvelis, A. V. Shvidchenko, O. N. Primachenko, Alexei S. Odinokov, Elena A. Marinenko, Alexander I. Kuklin, Oleksandr Igorovych Ivankov

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  24. 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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  25. On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modeling

    Water Environment Research · 2024-01-01

    Hesamedin Hekmatmehr, Ali Esmaeili, Saeid Atashrouz, Fahimeh Hadavimoghaddam, Ali Abedi, Abdolhossein Hemmati‐Sarapardeh, Ahmad Mohaddespour

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  26. A Big Data Approach to Explore Core Properties of Waterborne Polyurethane Coatings

    SSRN Electronic Journal · 2025-01-01

    Yunqi Li, Lu Liu, Rui Li, Chunhui Xie, Yang You, Qin Chen, Haibo Xie, Mengmeng Qin

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  27. 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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  28. Formulation Design of Frontal Polymerization Systems for Epoxy Resins Based on Machine Learning

    Journal of Physics Conference Series · 2025-03-01

    Zhilang Zhuo, Ying Li, Wenduo Chen, Hongzhao Zhao

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  29. A big data approach to explore core properties of waterborne polyurethane coatings

    Progress in Organic Coatings · 2025-10-28

    Lu Liu, Rui Li, Chunhui Xie, Yang You, Qin Chen, Haibo Xie, Mengmeng Qin, Yunqi Li

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  30. Development strategies and performance evaluation of proton exchange membranes

    Journal of Power Sources · 2025-11-07

    Zhen Luo, Xiao Pei Gao, Yunchao Hu, Zhangjia Yao, Noboru Ohta, Wenbin Yi

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  31. Machine Learning-Guided Structural Optimization of High-Temperature Polybenzimidazole-Based Phosphonic Acid Proton Exchange Membranes

    ACS Applied Polymer Materials · 2026-09-20

    Chengkai Hong, Chunyang Yu, Yongfeng Zhou

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