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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2025-06-01
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| Series: | Advanced Electronic Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aelm.202400771 |
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