From Ionic Surfactants to Nafion through Convolutional Neural Networks-Reference-Cited by-同舟云学术

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From Ionic Surfactants to Nafion through Convolutional Neural Networks

Published:2020-09-18 Issue:40 Volume:124 Page:8918-8927
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Dumortier Loïc¹,Mossa Stefano²³^ORCID

Affiliation:

1. X-ray Microspectroscopy and Imaging Group, Department of Chemistry, Ghent University, Krijgslaan 281/S12, B-9000 Gent, Belgium

2. CEA, IRIG-MEM, Univ. Grenoble Alpes, 38000 Grenoble, France

3. Institut Laue-Langevin, BP 156, F-38042 Cedex 9 Grenoble, France

Funder

Agence Nationale de la Recherche

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.0c06172

Reference40 articles.

1. Ion Conducting Membranes for Fuel Cells and other Electrochemical Devices

2. Structural evolution of water swollen perfluorosulfonated ionomers from dry membrane to solution

3. A Critical Revision of the Nano-Morphology of Proton Conducting Ionomers and Polyelectrolytes for Fuel Cell Applications

4. Ion transport and clustering in nafion perfluorinated membranes

5. Fibrillar Structure of Nafion: Matching Fourier and Real Space Studies of Corresponding Films and Solutions

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2. A comprehensive review on sustainable surfactants from CNSL: chemistry, key applications and research perspectives;RSC Advances;2024

3. Viscosity mechanism of perfluorosulfonic acid-based materials and their application in proton exchange membrane fuel cells;Applied Materials Today;2023-10

4. Advances and Challenges of Machine Learning in Polymer Material Genomes;ACTA POLYM SIN;2022

5. Data-Driven Design and Autonomous Experimentation in Soft and Biological Materials Engineering;Annual Review of Chemical and Biomolecular Engineering;2022-06-10

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