Crystal structure prediction (CSP) has been a vital part of the mission of XtalPi, an artificial intelligence and quantum physics based pharmaceutical technology company aiming to improve the speed, scale, novelty, and success rate of drug discovery and development.  Chandler Greenwell, an applications scientist at XtaPi, shares how CSP is revolutionizing the field.  We discuss: How polymorphism relates to CSP Insights that CSP can provide for de-risking the polymorph landscape Future applications for CSP  Resources mentioned during the podcast: Facts and fictions about polymorphism  Why don’t we find more polymorphs?  Report on the sixth blind test of organic crystal structure prediction methods  Harnessing Cloud Architecture for Crystal Structure Prediction Calculations  Prediction of the Relative Free Energies of Drug Polymorphs above Zero Kelvin  Selecting a stable solid form of remdesivir using microcrystal electron diffraction and crystal structure prediction  Virtual Coformer Screening by Crystal Structure Predictions: Crucial Role of Crystallinity in Pharmaceutical Cocrystallization  Guiding Lead Optimization for Solubility Improvement with Physics-Based Modeling  Email Chandler: [email protected]   For more insights into the pharmaceutical industry, subscribe to the show on Apple Podcasts, Spotify, or wherever podcasts are found.  Listening on a desktop & can’t see the links? Just search for The Pharma Lab Show in your favorite podcast player.