📣 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.

Using scientific machine learning for experimental bifurcation analysis of dynamic systems (2021)

First Author: Beregi S

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

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2110.11854

Publication URI: https://arxiv.org/abs/2110.11854

Type: Preprint