Characterizing 4-string contact interaction using machine learning

Abstract: String field theory (SFT) is a second-quantized formulation of string theory. In the case of closed strings, the construction of SFT requires solving for extra geometric structures on Riemann surfaces and their moduli spaces. In this talk, I will show how these structures for 4-string contact interaction can be characterized using machine learning. I will emphasize how the techniques in this study can be uplifted to characterize n-string contact interaction.