The objective of the research is to build predictive tools for material development leveraging natural language processing techniques coupled with thermochemical information to identify patterns and suggest hypotheses from data we extract from existing literature. In this way we aim to accelerate the development and testing of new materials for a variety of applications including battery materials, zeolites, alternative cement binders and alloys.