Date

2021年2月16日 (火) 16:00 17:00

Title: Biomedical and environmental applications of plasmonic sensors
Speaker: Dr. Francesca PINCELLA
Senior Lecture, Kyoto University, Japan

Date

2021年3月15日 (月) 13:00 14:00

Speaker: Prof. Tim (Hsin-Chih) Yeh, The University of Texas at Austin (Visiting Researcher at Membrane Cooperativity Unit, OIST)

 

Date

2021年2月9日 (火) 17:30 18:30

CFF unit is pleased to invite you to the seminar!

Date

2021年4月13日 (火) 16:00 17:00
In this session, Jeremie Gillet will have a hands-on introduction to Elm, a functional programming language for building safe web applications. Intall Elm in advance.

Date

2021年2月3日 (水) 11:00 12:00

Dr. Nobumoto Watanabe, Team Leader, RIKEN. Language: English, no interpretation.

Date

2021年1月27日 (水) 14:00 16:00

I will give a pedagogical introduction to field theories at large-N, with emphasis on vectors and matrices. I will also rapidly present the intermediate field formalism.

Date

2021年3月2日 (火) 16:30

Speaker: Aaron Yi Rui Low, National University of Singapore

Title: Adjustment matrices

Date

2021年2月16日 (火) 9:30

Speaker: Nick Davidson, Reed College

Title: Type P Webs and Howe Duality

Date

2021年2月26日 (金) 16:00

PhD Public presentation

Date

2021年1月28日 (木) 13:00 15:00

Title: Matrix Models and Topological Recursion

Abstract: Hermitian matrix models are simplest quantum gauge field theory, namely quantum gauge theory in zero dimensions, and their correlation functions can be computed by a mathematical framework, the so-called topological recursion. In this review talk, I first present properties of Hermitian matrix models such as the 1/N-expansion, Virasoro constraints, loop equations, and the associated spectral curve. I will then give a technical overview of how we can recursively solve the loop equations of Hermitian matrix models by utilising the geometry of the spectral curve. Collecting the key geometric features, I will define the topological recursion with great generalities which makes it possible to apply the topological recursion beyond Hermitian matrix models.

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