Data-driven Modeling of Complex Physical Systems (DMP)
The DMP group is focused on the development of robust data-based methods for modeling, analysis, and control of complex dynamical systems. We seek to combine tools from a broad variety of fields, including machine learning, numerical linear algebra, and control theory. Practical application to physical systems on the atomistic or molecular scale is also part of our research agenda.
Computer simulations of processes at the molecular level greatly improve our understanding of the behaviour of biological processes, chemical reactions, and material properties.
The DMP Group is an inter-disciplinary team of applied mathematicians, physicists, and engineers working on new algorithms to model and simulate molecular systems, leveraging the power of both data science and physical insight.
Please see our group website for current research projects, recent publications, and news.