Machine Learning as a universal tool for quantitative investigations of phase transitions
Date first appeared online | 16/05/2019 |
DOI | 10.1016/j.nuclphysb.2019.114639 |
Authors | Giannetti C., Lucini B. |
Journal Name | Nuclear Physics B |
Volume | 944 |
Documents
- 1-s2.0-S0550321319301257-main.pdf , Book, Released under the terms of a Creative Commons Attribution License (CC-BY).