Revolutionizing Crystallography with AI
Artificial Intelligence applied to facilitate co-crystal synthesis.
Allow Us to Change the Way You Think About Crystallography
Co-Crystal synthesis is not only time consuming but also environmentally harmful
Generates Solvent Waste
Conventional methods often depend on large volumes of organic solvents, contributing to environmental pollution.
Resource Intensive
The process demands significant laboratory resources, from expensive reagents to specialized equipment.
Limited Theory
Traditional co-crystal synthesis relies on trial and error experiments, requiring, slowing down research progress.
Experimental Conditions We Offer Predictions For:
Solvent
Acetone, Methanol, Ethanol, Acetonitrile, Dichloromethane, Chloroform, Ethyl acetate, or Other
Method
Solvent Evaporation, Liquid Assisted Grinding, Slow Cool Saturated Solution, and Slurry
Temperature
Molar Ratio
Days to Crystallize
Mission Statement:
Crystal-XG is committed to advance crystallographic research by harnessing the power of machine learning, making reaction condition predictions faster and more reliable
Meet the Team
