Speaker: Prof. Olaf G. WIEST
Department: Department of Chemistry and Biochemistry
Institution: University of Notre Dame, USA
Hosted by: Prof. Zhenyang LIN
Venue: Room 2404, 2/F (Lift 17/18), Academic Building, HKUST
Abstract:
The availability of large experimental and computational datasets opens new possibilities for the application of machine learning (ML) methods in organic synthesis. The NSF Center for Computer Assisted Synthesis (C-CAS), is dedicated to changing the way chemists discover, optimize, interrogate, and apply new reactions to the synthesis of functional molecules. In this presentation, different applications of computational methods to predictions of stereochemistry, reaction outcomes, and yields are discussed. Challenges, limitations and possible approaches to address them will be outlined as part of the 10-year vision for C-CAS.