Title: gCICY: Construction, Classification and Machine learning

Speaker: Prof. Xin Gao (高昕)

Affiliation: Sichuan University （四川大学）

Time: 16:00-17:00, Tuesday, 16th May, 2023 (UTC+8, Beijing Time)

Venue: Zoom Meeting (ID: 385 442 0225; Passcode: yauc)

Inviter: Hai Lin (林海)

Abstract  

In this talk, I will first introduce the construction of generalized complete intersection Calabi-Yau manifold (gCICY), which is a new method of constructing Calabi-Yau manifold. However, I will show that the standard algebraic method to generate new gCICYs is very laborious. Because of this complexity, the number of gCICYs and their classification still remains unknown. Then I will discuss how to make some progress in this direction using neural networks. Our results showed that the trained models can get high accuracy on the type (1, 1) and type (2, 1) gCICYs existing in the literature. Moreover, we can achieve a 97% accuracy in predicting new gCICYs not used in the training.

Speaker

高昕，四川大学物理学院研究员。2008年本科毕业于北京师范大学物理学系，2014年博士毕业于中科院理论物理研究所。此后分别在美国弗吉尼亚理工大学，意大利罗马第二大学/INFN，德国海德堡大学理论物理研究所从事研究工作。他的研究领域主要集中在弦紧致化、弦宇宙学和卡拉比-丘流形。