Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures directly influence a drug’s solubility and stability.
Machine learning workflow enables faster, more reliable organic crystal structure prediction
