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Research group Applied Computational Science


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We offer leading expertise on a wide variety of methods for discretizing and solving systems of nonlinear partial differential equations. We excel at developing new computational algorithms and turning these into efficient, reliable, and robust software of professional quality. We are internationally oriented and combine high academic quality in research with a strong focus on industrial relevance:

  • 19 permanent scientists, most with a PhD in mathematics, physics, or geophysics. We also have associated PhD and master students.
  • 20+ years of continuous involvment in industrial and academic research.
  • Many publications in leading journals and conferences each year.
  • 15+ years track record in developing high-quality, open-source, community software (BattMo, Jutul, MRST, and OPM) having hundreds of users world wide and sharing open data (e.g., CO2 DataShare)

The next section outlines our research areas, which we have chosen to divide by field of application rather than type of mathematical models and numerical methods.

Research areas

Modelling and simulation of flow in porous media

Modelling and simulation of flow in porous media

Simulation of flow in porous media involves modeling the movement of fluids through materials like soil and rock, providing insights into phenomena such as groundwater flow, oil reservoir behavior, and subsurface carbon storage. This field plays a...

Carbon capture and storage (CCS)

Carbon capture and storage (CCS)

Carbon capture and storage (CCS) is a crucial technology in the energy transition, aiming to mitigate the impact of carbon dioxide emissions on climate change by capturing CO2 from industrial processes and power generation and securely storing it...

Geothermal energy and gas storage

Geothermal energy and gas storage

Geothermal energy harnesses the Earth's internal heat for a reliable and sustainable power supply, while subsurface storage of thermal energy contributes to a balanced energy infrastructure. Gas storage, involving the underground storage of natural...

Computational electrochemistry

Computational electrochemistry

Computational electrochemistry is a field that employs computer simulations to analyze and predict the behavior of electrochemical systems, finding widespread applications in areas such as battery technology, fuel cells, and electrolysis. As a...

Surface water and urban flooding

Surface water and urban flooding

The aftermath of severe weather events, whether on a national or international scale, leads to substantial infrastructure damage, often resulting in considerable insurance claims. The anticipated rise in extreme weather incidents emphasizes the...

Ocean modelling

Ocean modelling

Accurately simulating and predicting drift in the ocean, along with its associated uncertainty, is crucial for various reasons. It is essential for maritime safety, helping to forecast the movement of objects like drifting vessels, debris, or...

Hardware-accelerated numerics

Hardware-accelerated numerics

Hardware-accelerated numerics refers to the use of specialized hardware, such as Graphics Processing Units (GPUs) or other accelerators, to enhance the performance of numerical computations. GPUs, designed for graphics rendering, have been used for...

Quantum computing

Quantum computing

Quantum computing is an impending technology that offers a huge potential for societal and business disruption. However, quantum computers work in a fundamentally different way than classical computers, and utilizing them requires a deep...

Cross-cutting expertise in computational science

Cross-cutting expertise in computational science

Advanced mathematics and computational methods are essential across all of SINTEF’s business areas. What distinguishes us from domain experts is our emphasis on enabling technology and cross-cutting expertise, which often allows us to operate...

Open-source software

Group members