Time and Date
10:00-12:00, June 21^st, 2024

Title
"Functional renormalization group: an introduction and inspiration from machine learning"
by Takeru Yokota (RIKEN)

Place (hybrid)
Room 745, Science Complex B (MAP H-03)

Zoom registration for participants:
https://us02web.zoom.us/meeting/register/tZcoc-yspj8rEtehkat8_1jb6cXBOSZAs5Nw

Abstract
The functional renormalization group (FRG), a rigorous formulation of the Wilsonian renormalization group, serves as a powerful tool for non-perturbative analysis in field theory. A key component of this approach is the use of functional differential equations (FDEs), such as the evolution equation for effective action. Solving these equations poses a challenging numerical task, and developing accurate methods is crucial for the success of FRG. In this talk, I will introduce the fundamentals and some applications of FRG. Additionally, I will discuss recent developments in applying machine-learning approaches to FRG.

Point
GSP 1

Contact
Toru Kojo (Physics, GP-PU),
E-mail: toru.kojo.b1 * tohoku.ac.jp (Replace * with @)