📣 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.

Machine learning techniques for detecting topological avatars of new physics. (2019)

First Author: Bevan AJ

Attributed to: Consolidated Grant 2019 funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1098/rsta.2019.0392

PubMed Identifier: 31707967

Publication URI: http://europepmc.org/abstract/MED/31707967

Type: Journal Article/Review

Volume: 377

Parent Publication: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Issue: 2161

ISSN: 1364-503X