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Taming multifaceted Ni catalysts: An academic fascination
Presented by Prof. Rubén Martín
The recent years have witnessed a renaissance in the general area of Ni-catalyzed reactions. The popularity of these processes is mainly attributed to the unique features of nickel when compared to its d10 congeners, and the promiscuity of nickel to participate in multiple redox manifolds. Our research group has reported some progress directed towards the utilization of feedstock materials en route to added-value building blocks by means of Ni-catalyzed transformations. Among these, we have shown the ability for enabling a series of C–C and C–heteroatom bond-forming reactions from simple (un)saturated hydrocarbons or native functionality. These methods are characterized by their simplicity and wide substrate scope, including challenging substrate combinations.
AI is not taking over the world, but I still love my Roomba: applying machine learning and automation in drug discovery
Presented by Kian Tan
Abstract: The SynTech group at Novartis focuses on how synthesis and technology can be leveraged to impact drug discovery. This seminar will illustrate our application of automation and machine learning to accelerate the design, make, test, analyze cycle (DMTA). A particular focus will be given to how we use models and active learning techniques in molecular design.