Application of Machine Learning Approaches to the Generation of Organic Compounds and Properties Prediction

Application of Machine Learning Approaches to the Generation of Organic Compounds and Properties Prediction

Watch a 47-minute scientific lecture from the Bogolyubov Institute for Theoretical Physics exploring innovative machine learning techniques for generating organic compounds and predicting their properties. Delve into cutting-edge research presented by the Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine in Lviv, examining how artificial intelligence can revolutionize the field of organic chemistry and compound synthesis.