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

继以前对不同SO（10）子群的自由费米子弦真空分类的工作之后，我探索了探索真空空间的新计算技术，例如在SO（10）真空空间中识别肥沃区域。长期目标是利用机器学习技术来找到这样的肥沃区域。该项目的第二个线程是分析自由费米子公式中的非超对称弦模型，并通过确保快子被投射到光谱之外并且模量固定来寻找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.