[tw-hepnet] NCTS Seminar - Particle Physics Journal Club 2026/05/11 (Mon.) 12:30

[Yu-Rou Tsang]

***NCTS Seminar***

Particle Physics Journal Club

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Speaker: Prof. Lingxiao Wang (Riken)

Talk title: Physics-Driven Learning for Solving Inverse Problems in QCD Physics

Time: 2026/05/11 (Mon.) 12:30

Place: NCTS Physics 4F Lecture Hall, Cosmology Hall, NTU

 

Abstract:
Discovery in the physical sciences relies on inverse modeling of observations. The combination of deep learning and physics-driven designs is reshaping how we solve inverse problems for extracting physical properties from data. This is particularly relevant for quantum chromodynamics (QCD), where non-trivial symmetries make both data interpretation and computation challenging. In this talk, I will present physics-driven learning from a probabilistic perspective, with a focus on applications in QCD physics. Examples include learning spectral functions and hadron forces from lattice QCD data, reconstructing hadron emission sources from Femtoscopy, and extracting the equation of state from neutron-star observations. If time permits, I will also introduce the physics of diffusion models and discuss physics-driven designs that enable expandable and reliable sampling for accelerating simulations.