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...
| 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
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| Subjects: | |
| Online Access: | https://doi.org/10.1002/aelm.202400771 |
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