Talk page

Title:
On Calabi-Yau Metrics and Neural Networks

Speaker:
Nikhil Raghuram

Abstract:
Metrics on compactification spaces such as Calabi-Yau manifolds are important for determining physical properties of string models. Yet there are few analytic expressions for these metrics. In this talk, I will describe an approach for numerically calculating the metrics on compactification spaces with neural networks. Our method is based on previous work that uses neural networks to solve partial differential equations. In addition to providing details about our approach, I will present some early, preliminary results.

Link:
http://scgp.stonybrook.edu/video_portal/video.php?id=4379

Workshop:
Simons- Workshop: strings, geometry, and data science