Modelling and simulation
Development of computational modelling tools and models both on device and system level, for fast and efficient design, characterisation, prediction and optimisation.
Keywords and applications
Modelling; simulation; computational multi-physics; optimisation; image analysis; machine learning; HPC
Device and system layout and optimisation; sensing; energy; lighting; nanotechnology; virtual prototyping
ProfileWe develop computational modelling tools and models both on device and system level, for fast and efficient design, characterisation, prediction and optimisation. We employ analytic and numeric methods for the virtual prototyping of multi-physical devices and systems, while additionally accounting for manufacturing process-induced variations and limitations.
On the device level, we model potentially coupled electrodynamic, mechanic, heat and carrier transport-based effects. We employ rigorous analytical as well as numerical (finite-element and finite-difference) methods.
On system and characterisation level, we combine these device models with optimisation, advanced data and image analysis and machine learning concepts.
The applications range from nano- and microtechnological devices for sensing, energy and lighting/display purposes to predictive system (and failure) analysis.
To ensure time-efficient solutions, we further investigate the benefits of high-performance computing (HPC) in the prototyping and characterisation process.
- Consultancy on computational modelling for industrial applications (virtual prototyping, predictive analysis)
- Easy access HPC tools in virtual prototyping workshops
- Image analysis and optimisation workshops
- Several state-of-the-art servers for small to medium size numerical modelling, optimisation, image analysis and machine learning projects
- Access to national and international HPC facilities for larger scale projects.
Associate Professor, PhD
The Mads Clausen Institute
T +45 6550 8209