We need knowledge to solve the challenges related to marine littering and pollution. SINTEF Center for Clean Ocean Research is working to increase knowledge about and prevent the spreading and...
Through our focus on circular economy, SINTEF combines technological expertise with economic and environmental expertise in order to provide our customers with multidisciplinary solutions,...
Synthesizing data for machine learning and other data-driven methods. In cases where little data exists from real-life applications, i.e. few measurements, newly installed sensors, limited...
Application of machine learning may have many forms, but they are all driven by data. Machine learning covers a variety of methods ranging from simple regression to deep neural networks....
Control systems are in general based on the same structure (feedback loops) and physics-based models of the dynamic system regardless of application. Based on model and parameter estimation, a...
SINTEF uses various numerical simulation tools in combination with physical understanding and practical experience. This can, for example, be simulation of AM processes in order to improve...
AM is the latest step in a long chain of digital processes using many different digital formats. The physical part is manufactured with a selected AM process, controlled by a process plan and...
In most situations, the modelled process will involve some uncertain parameters. This uncertainty has to be taken into account, to minimize the negative impacts it would otherwise had on the...
The goal of optimization is to improve processes, with respect to specified criteria. In SINTEF, we do this by creating a mathematical model of the process, and then use special mathematical...
SINTEF has have long experience in developing decision support systems for an optimal resource usage in industry and government administration. This can be decision support both on operational and...
Data science tries to extract knowledge or insight from data, either structured or unstructured. In SINTEF, our expertise is to take this knowledge further into improved planning and decision...
SINTEF Minalab has been a pioneer in the development and manufacturer of silicon radiation sensors for space and scientific applications since the 1980s. For space applications, the team has...
Finite Element Methods (FEM) are extensively employed for addressing scientific and engineering issues modeled by partial differential equations (PDEs). Within SINTEF, we specialize in the...
A Digital Twin (DT) is defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved...
User journeys - or customer journeys - put humans at the center of a process, whether we have the role of patient, employee, user or employee. CJML helps you keep track of the details of the user...
The term "connectivity" traditionally refers to the quality, state, or capability of a system to communicate information. However, access to the internet has nowadays become so common that...
Signal processing is a branch of electrical engineering used to model and analyse analog and digital data representations of physical events. All the technology we use today and even rely on in...
Safe and reliable batteries with a high energy density are of outermost importance for the electrification of our society, in particular in the transport sector where lithium-ion batteries are...
Fluidized bed reactors are widely used in the metallurgical, energy and chemical industries today. In addition, many clean and efficient fluidized bed process concepts are under development, in...
SINTEF boasts a long history in the development of functional materials and metallurgy, with state of the art synthesis, processing and characterization laboratories that allow for the development...