Joint ICTP/SISSA Condensed Matter Seminar, 16 May at 14:00am, Biagio Lucini

[CMSP Seminars Secretariat]

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  Joint ICTP/SISSA Condensed Matter Seminar
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** * * Tuesday**, 16 May 2023, 14:00*****(CET)** * **
In person: *Luigi Stasi Seminar Room **(Leonardo Building, second floor)***
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/Zoom: 
https://zoom.us/meeting/register/tJUkdOutqj0iG9H9fcWdUNJ00tbZQki9Od50/<https://zoom.us/meeting/register/tJIsfuuhqjsrE9EZY2loNxNobg8Lf39NUVHJ>

Speaker: *Biagio Lucini *(Swansea University)

Title: *Investigating phase transitions with machine learning methods

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Abstract:
Phase transitions occur in a variety of settings and situations in 
particle physics, condensed matter and statistical mechanics. The 
traditional approach to phase transitions, based on elegant principles 
such as scaling and universality, assumes some basic a priori knowledge 
of the physical system, in particular of the Hamiltonian and its 
underlying symmetries. While this information is usually given for 
granted, a data-driven approach has wider applicability. In this talk, I 
will present some applications of machine learning starting from 
Monte-Carlo generated data for phase transitions in simple (but far from 
trivial!) statistical and quantum field theoretical systems. More in 
details, I will discuss (a) identification of symmetries; (b) 
constructions of order parameters; and (c) precise determination of 
critical temperature and critical exponents. I will conclude showing how 
machine learning can be used to invert a renormalisation group flow.