Abstract: In this talk we will discuss the application of Machine Learning techniques to obtain numerical approximations to various metrics of SU(3) structure on Calabi-Yau manifolds. More precisely, we will be interested in SU(3) structures whose torsion classes make them suitable backgrounds for various string compactifications. A variety of aspects of this topic will be covered. These will include learning moduli dependent Ricci-Flat metrics on Calabi-Yau threefolds and obtaining numerical approximations to torsional SU(3) structures.
Machine learning and SU(3) structures on six manifolds
02.03.2021 14:00 - 15:00
Organiser:
Mathematische Physik
Location:
Online via BigBlueButton