Computer aided design automation for triboelectric nanogenerators-Reference-Cited by-同舟云学术

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Computer aided design automation for triboelectric nanogenerators

Published:2023-12 Issue: Volume:118 Page:108963
ISSN:2211-2855
Container-title:Nano Energy
language:en
Short-container-title:Nano Energy

Author:

Zhou Hao,Liu Fuhai,Chen Jinkai^ORCID,Wang Junchao,Wu Yun,Chen Jin,Chang Shiyuan,Xia Lianbin,Zhang Chi,Jiang Jingyang,Dong Kang,Zhang Chenhao,Sun Lingling,Xuan Weipeng,Zhao Pengfei,Jin Hao,Dong Shurong,Luo Jikui

Funder

Key Research and Development Program of Zhejiang Province

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference42 articles.

1. Triboelectric nanogenerator network integrated with charge excitation circuit for effective water wave energy harvesting;Liang;Adv. Energy Mater.,2020

2. Toward the blue energy dream by triboelectric nanogenerator networks;Wang;Nano Energy,2017

3. Rationally designed rotation triboelectric nanogenerators with much extended lifetime and durability;Lin;Nano Energy,2020

4. Graphene aerogels for efficient energy storage and conversion;Mao;Energy Environ. Sci.,2018

5. A synergetic hybrid mechanism of piezoelectric and triboelectric for galloping wind energy harvesting;Wang;Appl. Phys. Lett.,2020

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1. Harnessing Artificial Neural Networks for Inverse Design and Analysis of Mems-Based Fabry-Pérot Filters;2024

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