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Patrick Norman

Profile picture of Patrick Norman

Professor


About me

Patrick Norman is Head of the Division of Theoretical Chemistry and Biology and Director of the PDC Center for High Performance Computing at KTH Royal Institute of Technology, Stockholm, Sweden.

His main contributions to research are concerned with the development of state-of-the-art time-dependent molecular response theory methods, and he coordinates the VeloxChem and Gator high-performance computing (HPC) software development and eChem educational initiatives in quantum chemistry.

Other research networks:

A main theme in his development work has been the formulation of resonance convergent response theory based on the Liouville equation and the Ehrenfest theorem. The resulting equation of motion has been implemented for standard electronic structure theory models, including models for the treatment of environments, and it has been applied to a large number of linear and nonlinear optical and X-ray spectroscopies. For more details, see the PCCP review.

Together with T. Saue and K. Ruud, he has developed a graduate course on Molecular Response Properties that is provided in the form of a week-long international PhD school, most recently in Stockholm (see MRPSS 2023) and scheduled for June 12–16, 2023 again in Stockholm. The course is based on their book titled "Principles and Practices of Molecular Properties: Theory, Modeling and Simulations" (Wiley, 2018).


Courses

Computational Chemistry (BB2300), examiner | Course web

Degree Project in Biotechnology, First Cycle (BB103X), teacher | Course web

Molecular Quantum Mechanics (CB2070), examiner, course responsible | Course web

Molecular Quantum Mechanics (FCB3202), examiner, course responsible, teacher | Course web

Molecular Response Theory and Spectroscopy (FKE3150), examiner, course responsible, teacher | Course web

Programming in Python (BB1000), teacher | Course web

Project in Mathematical Modelling (CB1020), examiner, course responsible | Course web

Python Programming for Chemical Sciences (CK1310), examiner | Course web

Python for Biotechnology (CB1050), teacher | Course web