People
Faculty, researchers, and students driving computational physics forward at the University of Oslo.
The people of computational physics at the University of Oslo form a vibrant community of researchers united by a shared passion for exploring physical phenomena that exceed the limits of analytical calculation. Faculty members bring expertise spanning theoretical quantum mechanics, statistical physics, and the simulation of complex systems from dense matter to neutron stars. Their collective work demonstrates how modern computing power can unlock new insights into the behavior of liquids flowing through porous media and the fundamental properties of matter at extreme scales. This interdisciplinary group bridges the gap between abstract theory and tangible understanding, creating an environment where computational methods become a natural extension of the physicist's toolkit.
Graduate students and early-career researchers form the energetic core of daily computational work, applying sophisticated numerical methods to problems that would be impossible to solve by hand. These emerging scientists develop and refine algorithms that simulate physical systems across multiple scales, from quantum mechanical interactions to macroscopic fluid dynamics. Their hands-on experience with high-performance computing clusters and modern visualization tools enables them to transform raw data into meaningful physical insight. The educational environment encourages collaboration across traditional boundaries, with students learning not only from their advisors but from the diverse perspectives of peers working on entirely different physical systems.
The research environment emphasizes open development practices and shared methodological foundations that strengthen the entire group's capabilities. Researchers maintain a common coding style and cluster computing infrastructure that allows new members to contribute productively from their first day. Regular seminars and informal discussions create opportunities for cross-pollination between those studying quantum systems and those investigating statistical mechanics or fluid flow in complex media. This culture of shared knowledge extends to the development of educational materials and visualization tools that make computational physics accessible to a wider audience, ensuring that methodological advances benefit both research and teaching.
Recognition of exceptional work within this community has drawn attention to the quality of both research output and the supportive environment that makes it possible. Annual awards and prizes acknowledge individuals who demonstrate outstanding contributions to computational physics and to the modernization of physics education. These honors reflect not only individual achievement but the collective strength of a department that has invested in both computational infrastructure and human talent. The international visibility gained through invited presentations and collaborative projects showcases how the University of Oslo has become a destination for those seeking to push the boundaries of what computational methods can reveal about the physical world.
Faculty
Anders-Malthe Sørenssen
Leads the Computational Physics group. His work spans the development of theoretical and computational methods for quantum mechanical and statistical mechanics systems. In January 2015, he was awarded a national education prize.
Researchers & Staff
Daniel Marelius Bjørnstad
Contributes to the group's computational projects and has been featured in group news updates.
Svenn-Arne Dragly
Represented the University of Oslo at the education fair in Oslo Spektrum in February 2014. Active in software development and educational outreach.
Students
Milad Mobarhan
Created a 3D Neuron Scene in Blender, showcased in February 2015. Engaged in computational visualization and modeling.
Research Areas
Dense Matter & Astrophysics
Simulations of neutron stars and extreme states of matter using high-performance computing.
Porous Media & Geophysics
Modeling fluid flow in tight rocks, shale oil, and nanoscale transport phenomena.
Quantum & Statistical Systems
Development of theoretical methods for quantum mechanical systems, polymer models, and theoretical neurophysics.