📣 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.

Boosting Barlow Twins Reduced Order Modeling for Machine Learning-Based Surrogate Models in Multiphase Flow Problems (2024)

First Author: Kadeethum T

Attributed to: PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems (PREMIERE) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1029/2023wr035778

Publication URI: http://dx.doi.org/10.1029/2023wr035778

Type: Journal Article/Review

Parent Publication: Water Resources Research

Issue: 10

ISSN: 19447973 00431397