Energy Conversion and Flexible Sensors
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D1: Advanced Energy Materials".
Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 11040
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Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid development of the Internet of Things, big data analysis has started to play a larger role in daily life, and the rapid development of energy conversion and flexible sensors has brought great opportunities for the construction of intelligent systems. Flexible, portable self-powered sensors have changed the way that mechanical measurements of energy are collected, as well as the equipment used to achieve this. In addition, the real-time and accurate sensing of intelligent sensors is conducive to improving energy conversion functions. This Special Issue, which is dedicated to these topics, will cover but not limited to the following:
- Self-powered system;
- Nanogenerator;
- Sensors;
- Human mechanical energy collection;
- Motion monitoring;
- Big data analysis.
We welcome papers on various aspects of energy and automatic force, including systems from materials science, mechanic technology, manufacturing technology, and theoretical analysis to provide a theoretical and practical basis for the innovation and development of energy conversion and flexible sensors in the field of intelligence systems.
Dr. Liang Chu
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- self-powered system
- nanogenerator
- sensors
- human mechanical energy collection
- motion monitoring
- big data analysis
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