研究论文
Research on specific capacitance prediction of biomass carbon-based supercapacitors based on machine learning
Chenxi Zhao, Xueying Lu, Huanyu Tu, Yulong Yang, Siyu Wang, Aihui Chen, Haibin Zhang
Harbin University of Science and Technology
来源Journal of Energy Storage
年份2024
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2.10
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学术脉络
学科主题
材料 / 化学Supercapacitor Materials and Fabrication
Machine Learning in Materials Science · Thermochemical Biomass Conversion Processes
参考文献 37
Recent development in the production of activated carbon electrodes from agricultural waste biomass for supercapacitors: A review
被引 835Adekunle Moshood Abioye, Farid Nasir Ani · Renewable and Sustainable Energy Reviews · 2015
KOH activation of carbon-based materials for energy storage
被引 2,746Jiacheng Wang, Stefan Kaskel · Journal of Materials Chemistry · 2012
Sustainable activated carbon fibers from liquefied wood with controllable porosity for high-performance supercapacitors
被引 165Zhi Hao Jin, Xiaodong Yan, Yunhua Yu · Journal of Materials Chemistry A · 2014
此处列出前 3 条
引用本文 27
A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials
被引 85Chuang Wang, Xingxing Cheng, Kai Luo · Materials Science and Engineering R Reports · 2025
Energy storage in supercapacitor researches: Interdisciplinary applications from molecular simulations to machine learning
被引 15Yawen Dong, Yutong Liu, Fei‐Fei Mao · Applied Energy · 2025
Research on prediction of energy density and power density of biomass carbon-based supercapacitors based on machine learning
被引 15Xueying Lu, Chenxi Zhao, Huanyu Tu · Sustainable materials and technologies · 2025
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