An emerging machine learning strategy for electrochemical sensor and supercapacitor using carbonized metal–organic framework-Reference-Cited by-同舟云学术

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An emerging machine learning strategy for electrochemical sensor and supercapacitor using carbonized metal–organic framework

Published:2022-09 Issue: Volume:920 Page:116634
ISSN:1572-6657
Container-title:Journal of Electroanalytical Chemistry
language:en
Short-container-title:Journal of Electroanalytical Chemistry

Author:

Lu Xinyu,Liu Peng,Bisetty Krishna,Cai Yue,Duan Xuemin,Wen Yangping,Zhu Yifu,Rao Liangmei,Xu Quan,Xu Jingkun

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering,Analytical Chemistry

Reference62 articles.

1. Machine learning for molecular and materials science;Butler;Nature,2018

2. Machine-learning approaches in drug discovery: Methods and applications;Lavecchia;Drug Discovery Today,2015

3. Machine-learning-augmented chemisorption model for CO2 electroreduction catalyst screening;Ma;J. Phys. Chem. Lett.,2015

4. Machine learning applications in epilepsy;Abbasi;Epilepsia,2019

5. Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials;Sun;Sci. Adv.,2019

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