Numerical methods for Calabi-Yau and special geometry metrics

Abstract: We discuss recent work in which machine learning techniques and software have been adapted to compute Ricci flat metrics on Calabi-Yau threefolds, and ongoing work to compute G2 metrics and other geometric structures. Based on work with Rodrigo Barbosa, Yidi Qi and Subramananian Lakshinarasimhan.

machine learningmathematical physicsalgebraic geometryalgebraic topologynumber theory

Audience: researchers in the topic

DANGER2: Data, Numbers, and Geometry