GPPU Seminar
Functional renormalization group: an introduction and inspiration from machine learning
Takeru Yokota
(RIKEN)
Date
10:00-12:00, June 21st, 2024Place
(hybrid) Room 745, Science Complex B (H-02), Zoom registration mapAbstract
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 1Contact: Yusuke Tanimura (tanimura [at] nucl.phys.tohoku.ac.jp)