ChemStor published in the Journal of Chemical Information and Modeling
ChemStor (a collaboration with Jason Ot, Daniel Tan, Tyson Loveless, and Philip Brisk) is the subject of a paper published in the Journal of Chemical Information and Modeling.
ChemStor is a software tool that uses principles from formal methods—a branch of computer science—to safely store and dispose of chemicals. Chemical-related accidents in labs and homes are all too common. In just one example, each year, 4500 injuries are caused by simply mixing incompatible pool chemicals. ChemStor informs the user if two or more chemicals pose a threat if stored or mixed together. If it is integrated into voice assistants like Amazon’s Alexa and Apple’s Siri, ChemStor could help keep researchers and the public safe around chemicals.