学术交流
学术交流
首页  >  学术科研  >  学术交流  >  正文

    【学术讲座】Orientifold Calabi-Yau threefolds: Constructions and Machine Learning

    2024-10-11 李晓斌 点击:[]

    报告题目:Orientifold Calabi-Yau threefolds: Constructions and Machine Learning

    报告时间:2024年10月17日上午10点-11点

    报告地点:williamhill官网-中文官网犀浦校区3教X30456

    报告人:高昕研究员(四川大学)

    摘要: Using the Kreuzer-Skarke database of 4-dimensional reflexive polytopes, we systematically constructed a new database of orientifold Calabi-Yau threefolds up to h^{1,1}(X) =12. Our approach involved a non-trivial Z_2 involution, with both divisor exchanging and multi-reflections, acting on the Calabi-Yau manifolds. Each of such proper involutions will result in an orientifold Calabi-Yau manifolds and 320,386,067 of them was constructed. We developed a novel algorithm that significantly reduces the complexity of determining the fixed locus under the involutions, followed by the locations of different types of O-planes. It shows that under the proper involutions one end up with majority the O3/O7-planes system and most of them will further admit a naive Type IIB string vacua. Additionally, a new type of free action was determined. We also computed the smoothness and the splitting of Hodge numbers for these orientifold Calabi-Yau threefolds. Finally, We use the machine learning technique to search the polytope which can result in an orientifold Calabi-Yau hypersurface and the“naive type IIB string vacua”.

    报告人简介:2008年本科毕业于北京师范大学,2014年于中国科学院理论物理研究所获得博士学位,期间在德国马克斯-普朗克物理研究所博士联合培养。此后分别在美国弗吉尼亚理工大学,意大利INFN/罗马第二大学,德国海德堡大学从事博士后科学研究工作。曾获意大利国家核物理研究所理论物理博士后研究奖金,德国洪堡学者研究奖金。现在四川大学物理学院任教,研究方向为弦论唯象,计算代数几何,全息有效场论等。


    上一条:【学术讲座】MATLAB与人工智能
    下一条:【学术讲座】基于模型驱动深度学习的信道译码方法

    关闭