报告题目：An introduction to machine learning physics
报告嘉宾：Akio Tomiya(富谷昭夫)，东京女子大学 副教授
报告时间：2024年8月28日 14:00-16:00
报告地点：吉林大学中心校区物理楼333会议室
嘉宾简介
Dr. Akio Tomiya received his Ph.D. from Osaka University in 2015. After working in postdoctoral research positions at Kobayashi-Maskawa Institute and Central China Normal University, he joined in Institute of Astrophysics of Central China Normal University as a faculty member. His research interests are applications of modified gravity theory to the dark energy and dark matter from viewpoints of cosmology and astrophysics.
报告简介
In this talk, I briefly introduce recent progress on machine learning physics and lattice QCD. Deep learning utilizes neural networks, and the application of neural networks in physics is referred to as machine learning physics. With the rising popularity of ChatGPT, it's noteworthy that the core technology behind it is the Transformer. I introduce the symmetry covariant transformer, which can be used in simulations of physical systems. I will also touch on our ongoing work to apply this technology to lattice QCD simulations.
举办单位：吉林大学物理学院
吉林大学理论物理中心
