'Classification of phenomenological supersymmetric and non-supersymmetric heterotic string vacua'

在之前对不同SO（10）子群的自由费米子弦真空的分类工作的基础上，我探索了探索真空空间的新计算技术，例如在SO（10）真空空间中识别可繁殖区域。长期目标是利用机器学习技术找到这样的肥沃地区。该项目的第二条线索是分析自由费米子公式中的非超对称弦模型，并通过确保快子投射出光谱和模固定来找到可以被认为是稳定的模型。

Following on from previous work on the classification of free fermionic string vacua for different SO(10) subgroups, I explore novel computational techniques for exploring the space of vacua, such as the identification of fertile regions in the space of SO(10) vacua. The long term aim is to utilising techniques from machine learning to find such fertile regions. A second thread to the project is analysing non-supersymmetric string models in the free fermionic formulation and finding models that can be argued to be stable through ensuring tachyons are projected out the spectrum and moduli are fixed.