Teaching & PhD
Doctoral Program in Chemistry and Chemical Engineering
Doctoral program in computer and communication sciences
PhD StudentsChen Junwu, Guo Jeff, Marulanda Bran Andres Camilo, Rankovic Bojana, Sabanza Gil Víctor, Schilter Oliver Tobias,
This course comprises of two parts. The bases of the thermodynamics of equilibria and of the kinetics of reactions are introduced. The first notions of quantum chemistry on electrons and bonds, exemplified in organic chemistry, are presented in the second part.
(Coursebook not yet approved by the section)
This course will be on Electronic Laboratory Notebooks and is aimed at (future) users. Multiple electronic lab notebooks exists. The course will focus on the Cheminfo tools (https://eln.epfl.ch/).
Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications
This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method.