These calculations provide key molecular level insights into the degradation pathways and stability of electrolyte molecules at the Li anode surface. The results reported in this work also serve as invaluable data points to benchmark the performance of reactive machine learning force fields (MLFF) and aid in the development of more transferable MLFF models.