Machine Learning-Based Surrogate Models for Performance Prediction of Triboelectric Nanogenerators

Shashank Mishra, Subramanian Ramamoorthy, Jacqueline M. Cole, Themis Prodromakis

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Machine Learning; Energy Harvesters; Triboelectric Nanogenerators; Surrogate Model

TL;DR: We present a machine learning–based surrogate model that predicts the open-circuit voltage of triboelectric nanogenerators by bridging atomic-scale material properties and device-level performance.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 249