Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters

Abstract Triboelectric nanogenerators (TENGs) offer a promising solution for energy harvesting in wearable devices and sensors. However, their energy output is dependent on process parameters and should be optimized to maximize performance. Due to the absence of effective analytical models for TENG...

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Bibliographic Details

Published in:	Advanced Electronic Materials
Main Authors:	Mohammad Abrar Uddin, Myeongju Lim, Rubiga Kim, Barrett London Burgess, Ken Roberts, Junghyun Kim, Taeil Kim
Format:	Article
Language:	English
Published:	Wiley-VCH 2025-06-01
Subjects:	energy harvesting machine learning surrogate modeling‐driven optimization triboelectric nanogenerators wearable biosensors
Online Access:	https://doi.org/10.1002/aelm.202400771