Ice plays a crucial role on Earth, from its presence in the polar regions to its impact on global climate and sea levels. First principle calculations, which use fundamental principles of physics to model the behavior of atoms and molecules, are commonly used to study ice. However, these calculations do not accurately predict the temperatures and pressures at which ice melts. In this project, I will develop new empirical corrections to first principle calculations, which aim to bridge the gap between what is experimentally known about ice and what is theoretically predicted. This will enable reliable computational microscopy of ice under conditions inaccessible by experiments.