Intelligent Explorations of the String Theory Landscape
University of Oxford（牛津大学）；Wolfson College（沃尔夫森学院）
英文摘要：
The goal of identifying the Standard Model of particle physics and its extensions within string theory has been one of the principal driving forces in string phenomenology. Recently, the incorporation of artificial intelligence in string theory and certain theoretical advancements have brought to light unexpected solutions to mathematical hurdles that have so far hindered progress in this direction. In this review we focus on model building efforts in the context of the $E_8\times E_8$ heterotic string compactified on smooth Calabi-Yau threefolds and discuss several areas in which machine learning is expected to make a difference.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
