We offer leading expertise on a wide variety of methods for discretizing and solving systems of nonlinear partial differential equations, as well as calibrating and optimizing the resulting computational models. 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:
While our work primarily revolves around applications, we maintain a strong emphasis on generic expertise, identifying ourselves as applied mathematicians and computer scientists rather than domain-specific experts. This approach aligns with a longstanding tradition dating back to the early 1990s at SINTEF Digital. We believe that this distinctive characteristic is crucial for developing efficient, flexible, and robust simulation technology.
It is therefore natural for us to take a leading role in SINTEF Digital's prioritized research area, Mathematics in Technology, which functions as an incubator for new research directions and development of new research talents. Examples of new strategic directions include work on differentiable simulators, optimization under uncertainty, and various forms of combined physics-and-data-driven methods, to name a few. Likewise, by leveraging our preexisting software and expertise from porous media flow we were recently able to make a relatively swift entry into computational electrochemistry.
Recognizing the importance of scientific renewal and continued education in new and upcoming fields, we have also for the past two decades organized the highly popular Geilo Winter Schools in eScience and computational mathematics.
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) 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 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 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...
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...
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...
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...
Gridding and discretization form the backbone of numerical simulation, transforming continuous mathematical models into finite sets of discrete quantities that can be solved for on a computer. Research on new methods is essential to develop more...
To research innovative computational methods and mature them to a stage suitable for commercial implementation or deployment it is imperative to develop and maintain efficient and flexible ecosystems that facilitate effective experimental programming...
Hardware-accelerated numerics refers to the use of specialized hardware to enhance the performance of numerical computations. Graphics processor units (GPUs) have, for instance, been used for almost two decades in scientific and engineering...
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...
Visual computing is a field of computing that deals with the processing of visual information in forms such as images, videos, and 3D data. Our recent focus has mainly been on visual computing for medical ultrasound, but we have also worked with...
