Machine Learning as a universal tool for quantitative investigations of phase transition

C Giannetti, B Lucini, D Vadacchino

Research output: Working paper › Preprint

Keywords

@techreport{0e2c3a736f0744158491f2ec6cbf75c4,

title = "Machine Learning as a universal tool for quantitative investigations of phase transition",

keywords = "51 Physical Sciences, 5103 Classical Physics",

author = "C Giannetti and B Lucini and D Vadacchino",

year = "2018",

month = dec,

day = "17",

doi = "10.48550/arxiv.1812.06726",

language = "English",

type = "WorkingPaper",

}

TY - UNPB

T1 - Machine Learning as a universal tool for quantitative investigations of phase transition

AU - Giannetti, C

AU - Lucini, B

AU - Vadacchino, D

PY - 2018/12/17

Y1 - 2018/12/17

KW - 51 Physical Sciences

KW - 5103 Classical Physics

U2 - 10.48550/arxiv.1812.06726

DO - 10.48550/arxiv.1812.06726

M3 - Preprint

BT - Machine Learning as a universal tool for quantitative investigations of phase transition

ER -