Work

Machine Learning Enhanced Self‐Charging Power Sources

Year: 2025

Type: article

Source: Advanced Functional Materials

DOI: 10.1002/adfm.202505719

Authors: Rui Gu, Liang Wei, Nuo Xu, Yao Xiong, Qijun Sun, Zhong Lin Wang

Institutions: University of Chinese Academy of Sciences, Guangxi University, Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems

Language: English

Topic: Advanced Sensor and Energy Harvesting Materials

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Key Technologies Research and Development Program

Awards: G1760571207, G5085230421

OpenAlex ID: W4410076726

FWCI: 4.936

Cites: 169

Cited by: 21

Related to: 10