📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Parametric Amplification in a Stochastic Nonlinear Piezoelectric Energy Harvester Via Machine Learning

First Author: Chatterjee T

Attributed to: Digital twins for improved dynamic design funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-030-76004-5_33

Publication URI: http://dx.doi.org/10.1007/978-3-030-76004-5_33

Type: Book Chapter

Book Title: Data Science in Engineering, Volume 9 - Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (2022)

Page Reference: 283-291

ISSN: 1381-2386