In this talk, I will discuss recent advances in string landscape and swampland. First, I will clarify various corrections in string compactifications and their implications in 4D N=1 SUGRA language. Next, I will focus on warping correction and parameter control issues in achieving de-Sitter space in both KKLT and Large Volume Scenarios. Finally, I will examine the feasibility of these constraints in large scale of Calabi-Yau compactifications, including construction of orientifold Calabi-Yau database and the use of Machine Learning techniques to create new geometries and find orientifold string vacua.
Bio:
高昕，主要从事弦紧致化，弦宇宙学与卡拉比-丘流形的研究。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博士后研究。现于四川大学物理学院任特聘研究员。
Tencent Meeting：638-493-986
Prof. Yinan Wang