International Workshop: "HIerarchical Structure and Machine Learning (HISML 2023)"
Dates: 2 Oct - 13 Oct 2023

Venue: The Institute for Solid State Physics, The University of Tokyo, Japan
Meeting type: In-person (Certain online sessions available)
https://sites.google.com/view/malis2023issputokyo/

Scientific Topics
The meeting program will focus on the study of hierarchical structure of the many-body correlation functions and attempts to solve the hierarchical equations of motion with help of machine learning:

*Exchange-correlation functionals of electrons
*Statistical theory of classical fluids
*Functionals in quantum master equations
*Machine learning approaches
*Other topics, concerning DFT and more general many body problems

The list of invited speakers includes:
Kieron Burke (UC Irvine)
Sam Vinko (U Oxford)
Matthias Schmidt (U Bayreuth)
Karsten Held (TU Wien)
Junren Shi (Peking U)
Yoshitaka Tanimura (Kyoto U)
Tomoaki Yagi (RIKEN)
Kiyoharu Kawana (Seoul Nat'l U)
Hiroshi Shinaoka (Saitama U)

Registration and submission of abstracts is open. Deadline for presentation is Aug 28th 2023.
Could you please circulate this announcement among your colleagues and possible interested participants?

Organizing Committee
Osamu Sugino (U Tokyo)
Jun Haruyama (U Tokyo)
Ryosuke Akashi (QST)
Takeru Yokota (RIKEN)
Ryo Nagai (PFN)
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https://www.issp.u-tokyo.ac.jp/maincontents/seminar/all2_en.html?pid=19569&ptype=seminar