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Digital Physics

With digital physics you can create virtual replicas of real-world systems, simulate future events, produce synthetic training data for AI solutions, and experiment with machines and materials not yet created.

Digital physics is the combination of models, data and numerical algorithms into virtual environments that evolve according to a set of fundamental physical laws. This is an essential technology for the design and control of future mechatronics systems, such as autonomous vehicles, robots and machines for energy production and material handling.

We explore new methods for computational modelling and high-performance simulation of multiphysical systems, with particular focus on multibody systems with nonsmooth dynamics. In the research group we have special interest in computational modelling and simulation of granular materials, heavy machinery and robots operating in unstructured environments.

For list of publications, research projects and master thesis proposals look here.

Head of research

Martin Servin
Associate professor