Integrated data mining for prediction of specific capacitance of porous carbon materials for flexible energy storage devices-Reference-Cited by-同舟云学术

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Integrated data mining for prediction of specific capacitance of porous carbon materials for flexible energy storage devices

Published:2023-12 Issue: Volume:73 Page:109072
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Pan Kewei,Liu Qing,Zhu Lanyan,Zhou Yi,Lu Ying,Wang Shixing,Zhou Yunxuan,Ding Zhao,Zhou Yang

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference60 articles.

1. Self-powered nanosensorsand nanosystems;Wang;Adv. Mater.,2012

2. Environment-friendly and economical scheduling optimization for integrated energy system considering power-to-gas technology and carbon capture power plant;Zhang;J. Clean. Prod.,2020

3. Nanowire assemblies for flexible electronic devices: recent advances and perspectives;Wang;Adv. Mater.,2018

4. An ultrathin flexible electronic device based on the tunneling effect: a flexible ferroelectric tunnel junction;Hou;J. Mater. Chem. C,2018

5. Recent progress in the synthesis of porous carbon materials;Lee;Adv. Mater.,2006

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1. Electrochemical energy storage applications of functionalized carbon-based nanomaterials: An overview;International Journal of Electrochemical Science;2024-05

2. Low-carbon technologies in automotive industry and decarbonizing transport;Journal of Power Sources;2024-01

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