# Automatic Differentiation and Computational Chemistry

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.

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