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Variation of Shannon Information Entropy of Triboelectric Nanogenerators and Analysis of Their Landauer Limit

Fei Zhong Jian Zhang Lejin Meng Shaoyi Hu Xin Luan Siyu Zhang Xin Yu Yang Liu Xiao Zhang

Variation of Shannon Information Entropy of Triboelectric Nanogenerators and Analysis of Their Landauer Limit

Variation of Shannon Information Entropy of Triboelectric Nanogenerators and Analysis of Their Landauer Limit

Fei Zhong 1Jian Zhang 1Lejin Meng 1Shaoyi Hu 1Xin Luan 1Siyu Zhang 1Xin Yu 2Yang Liu 1Xiao Zhang1

作者信息

  • 1. Changchun Institute of Technology, No. 395, Kuanping Avenue, Chaoyang District, Changchun, Jilin, China
  • 2. Changchun University of Technology, No. 2055 Yan'an Street, Chaoyang District, Changchun, Jilin, China
  • 折叠

摘要

The triboelectric nanogenerator (TENG) is an important device for converting mechanical energy into electrical energy, yet its interfacial charge evolution and output formation process exhibit pronounced stochasticity and non-equilibrium statistical features. While existing studies primarily focus on material properties, electrical responses, and contact electrification mechanisms, there is a lack of quantitative characterization of the state evolution, the transition from high entropy to low entropy, and the associated energy constraints during the output formation process. This work innovatively introduces Shannon information entropy theory to quantify the working process of TENGs. We establish a microstate charge-state probability model under interface discretization; from a Shannon information entropy perspective, we describe the system’s evolution from disorder to order, from high entropy to low entropy, and, with the aid of Landauer’s principle, link Shannon entropy to the output energy, enabling the computation of the minimum energy bound corresponding to the entropy-reduction of the TENG. The results indicate that externally driven mechanical processes yield a dynamically evolving distribution of interfacial charges, with Shannon entropy decreasing as the system orders, thereby yielding the corresponding expression for the TENG output energy bound. The cross-disciplinary framework of “charge-state probability distribution—Shannon information entropy—energy bound” integrates classical information theory with Landauer’s principle within the extended Maxwell equations framework developed by Academician Zhonglin Wang. This approach breaks through the limitations of traditional analyses confined to a single electrical dimension, constructing a unified theory that connects microscopic charges to macroscopic energy and establishing an integrated universal analytical method spanning classical information theory, information physics, and nano-energy science.

Abstract

The triboelectric nanogenerator (TENG) is an important device for converting mechanical energy into electrical energy, yet its interfacial charge evolution and output formation process exhibit pronounced stochasticity and non-equilibrium statistical features. While existing studies primarily focus on material properties, electrical responses, and contact electrification mechanisms, there is a lack of quantitative characterization of the state evolution, the transition from high entropy to low entropy, and the associated energy constraints during the output formation process. This work innovatively introduces Shannon information entropy theory to quantify the working process of TENGs. We establish a microstate charge-state probability model under interface discretization; from a Shannon information entropy perspective, we describe the systems evolution from disorder to order, from high entropy to low entropy, and, with the aid of Landauers principle, link Shannon entropy to the output energy, enabling the computation of the minimum energy bound corresponding to the entropy-reduction of the TENG. The results indicate that externally driven mechanical processes yield a dynamically evolving distribution of interfacial charges, with Shannon entropy decreasing as the system orders, thereby yielding the corresponding expression for the TENG output energy bound. The cross-disciplinary framework of charge-state probability distributionShannon information entropyenergy bound integrates classical information theory with Landauers principle within the extended Maxwell equations framework developed by Academician Zhonglin Wang. This approach breaks through the limitations of traditional analyses confined to a single electrical dimension, constructing a unified theory that connects microscopic charges to macroscopic energy and establishing an integrated universal analytical method spanning classical information theory, information physics, and nano-energy science.

关键词

triboelectric nanogenerator/Shannon information entropy/Landauer principle/energy bound

Key words

triboelectric nanogenerator/Shannon information entropy/Landauer principle/energy bound

引用本文复制引用

Fei Zhong,Jian Zhang,Lejin Meng,Shaoyi Hu,Xin Luan,Siyu Zhang,Xin Yu,Yang Liu,Xiao Zhang.Variation of Shannon Information Entropy of Triboelectric Nanogenerators and Analysis of Their Landauer Limit[EB/OL].(2026-05-21)[2026-05-24].https://chinaxiv.org/abs/202605.00181.

学科分类

电工技术概论/发电、发电厂/独立电源技术/物理学

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首发时间 2026-05-21
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