Adam Abbott Friday, October 4, 2019 - 11:15am Chemistry Building, Room 400 Physical Seminar Automatic Differentiation (AD) is a general method for obtaining derivatives of arbitrarily complex functions in computer programs. Naturally, such a tool would seem invaluable to computational chemistry applications. Some current developments and limitations of applying AD to quantum chemistry techniques presented in the literature are discussed.