【直播】【复旦核物理前沿开放讲坛】Artificial intelligence and machine……

活动名称：

Artificial intelligence and machine learning in nuclear structure theory

活动时间：

2022年8月3日(周三) 20:00

报告嘉宾：

Prof. Witold Nazarewicz（Department of Physics and Astronomy and Facility for Rare Isotope Beams Michigan State University, East Lansing, Michigan, USA）

主办单位：

复旦大学核科学与技术系/现代物理研究所核物理与离子束应用教育部重点实验室国家自然科学基金委-理论物理专款上海核物理理论研究中心

直播通道

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报告人介绍

Dr. Witold Nazarewicz 

Dr. Witold Nazarewicz is both a John A. Hannah distinguished professor of physics at Michigan State University, and a professor of physics at Warsaw University, Poland. He is also a Corporaste Fellow at the Oak Ridge National Laboratory's Physics Division. During 1999-2012 he served as the Scientific Director of the ORNL Holifield Radioactive Ion Beam Facility. He has held several visiting positions, including professorships at Lund University, University of Cologne, Kyoto University, University of Liverpool, University of the West of Scotland, and Peking University. Dr. Nazarewicz is an expert and pioneer in many fields, including nuclear structure, quantum many-body problem, and physics of open systems. Dr. Nazarewicz is the author of nine review papers and more than 420 refereed publications in scientific journals, with more than 28,000 citations and h-index of 89 (Web of Science) and 103 (Google Scholar).

报告简介

To an increasing extent, theoretical nuclear physics involves statistical inference on computationally-demanding theoretical models that often combine heterogeneous datasets. In this presentation, I will present a brief summary of diverse machine learning applications to low-energy nuclear theory. In particular, I will discuss how machine learning tools can improve the predictive power of nuclear theory when extrapolating towards more and more unstable nuclei.

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编辑：吴良秀

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