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Unsupervised Learning-Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells |
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| Authors: | Dr Xiuyang Zou Guodong Xu Pengda Fang Dr Weizheng Li Zhiyu Jin Dr Siyu Guo Yin Hu Prof Meisheng Li Ji Pan Prof Zhe Sun Prof Feng Yan |
| Institution: | 1. Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies College of Chemistry, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123 China;2. Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies College of Chemistry, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123 China
Contribution: Formal analysis (equal);3. Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies College of Chemistry, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123 China Contribution: Formal analysis (supporting);4. School of Chemistry and Chemical Engineering, Jiangsu Key Laboratory for Chemistry of Low-Dimensional Materials, Huaiyin Normal University, Huaian, 223300 China Contribution: Software (equal);5. Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies College of Chemistry, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123 China Contribution: Software (supporting) |
| Abstract: | |
| Keywords: | Alkaline Stability Anion Exchange Membranes Degradation Prediction Machine Learning Material Genomics |