Scientific Computing

Developing tools for high performance computing, and applying novel simulation techniques to complex physical processes affecting human health.

Mathematical models and computer simulation are increasingly essential tools for a wide range of scientific subjects. The field of Scientific Computing seeks to create and use these tools to build fundamental knowledge in a wide variety of research fields as well as to find novel application areas for advanced simulation technology to address societal challenges.

At Simula Research Laboratory the focus of Scientific Computing is on the development of increasingly efficient and user friendly tools to enhance the accessibility and flexibility of supercomputing, and on advanced computational methods to investigate complex physiological phenomena, and to address unmet health issues of the modern age such as heart failure and stroke.

Research centres

The Center for Biomedical Computing (CBC)

CBC is a Centre of Excellence (SFF) granted by the Research Council of Norway with four focus areas

  • Research on medical problems involving models of electrophysiology and heart mechanics.
  • Research on biomedical flow and tissue interaction problems such as aneurysm formation and rupture, malformations and cyst formations in the spinal cord, and the modeling of the mitral valve and its interaction with blood flow.
  • Developing computational middelware for modelling physical prosesses of the human body, based upon the finite element software suite FEniCS.
  • Research on robust solvers: Basic, flexible software components for creating PDE solvers.

The Center for Cardiological Innovation (CCI)

CCI is a long term collaboration with Rikshospitalet and industry partners such as GE Vingmed and Medtronic. The goal of the Centre is to enable translation of advanced research into industrial innovation focused on the two major challenges in modern cardiology: Sudden cardiac death and death from heart failure. Working together with clinicians, Simula provides advanced modeling techniques in the fields of cardiac electrophysiology, electro-mechanics, and geometric modeling to the center to enable enriched patient specific diagnostics and treatment planning.