Machine Learning as a universal tool for quantitative investigations of phase transitions (2019)

First Author: Giannetti C
Attributed to:  Fields, Strings and Lattices: From the Inflationary Universe to High-Energy Colliders funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.nuclphysb.2019.114639

Publication URI: http://dx.doi.org/10.1016/j.nuclphysb.2019.114639

Type: Journal Article/Review

Parent Publication: Nuclear Physics B