Søk i SINTEF

Data assimilation is the process of integrating observations with model predictions to produce improved estimates of the state of a system. It merges real-time observations with numerical...

Sustainable energy solutions require an understanding of how the use of technology affects the environment in a holistic perspective. By using Life Cycle Analysis (LCA), one can systematically...

Julia is a high-level, high-performance programming language that aims to combine the ease of use of high-level programming languages like Python and MATLAB with the high performance of compiled...

Modeling and simulation of large scale gas storage Underground gas storage and in particular Undergroud Hydrogen Storage (UHS) plays a growing role in the shift to a sustainable hydrogen-based...

Model-based optimization of long-term reservoir performance typically entails running a large amount of computationally demanding reservoir simulations. This limits, if not prohibits, black-box...

A Knowledge Graph supports integrating information from different sources. A Knowledge Graph (KG) is a network of interconnected nodes, each representing a resource, and edges denoting...

The variable-coefficient Laplace operator, ∇ · K∇, appears in many mathematical models across various disciplines. Unless the computational grid aligns with the principal directions of the...

Related projects ML4ITS – Machine Learning for Irregular Time Series RICO Time series data is pervasive across industries such as energy, healthcare, transportation, and finance. However,...

Related project RICO Artificial intelligence systems are increasingly deployed in critical and dynamic environments where reliability is essential. However, AI models are often vulnerable to...

Related project RICO Uncertainty Quantification (UQ) in AI is essential for evaluating the reliability and robustness of model predictions. It highlights where models are confident, uncertain,...

Combining machine learning and analytical models may yield the best of both worlds. Machine learning models are flexible and powerful, but they often function as black boxes with high data...

CPS finds itself in systems ranging from high-confidence devices in critical infrastructure, automotive, defense, medical, and industrial control systems, to other systems such as household...

Biological and biotechnological systems are often very complex, containing a large number (hundreds to thousands) of distinct chemical compounds. The use of mass spectrometry (MS) coupled to...

Silicon is the second most abundant chemical element in the earth's crust and is applied in a large variety of applications ranging from fine chemical industry, alloying element in aluminum and...

SINTEF performs experimental and theoretical research and development along the value chain from mineral processing and materials characterisation to high temperature production, smelting and...

Urban Mining is simply defined as the process of reclaiming raw materials from spent products, buildings and waste....

SINTEF is a key partner for the industry regarding technological solutions within Emission and Environment....

SINTEF performs feasibility studies and provide high level advisory support for potential producers and end users of hydrogen technology with focus on production from renewable energy and end use...

Development of renewable energy solutions is essential in order for us to be able to respond to the energy demands facing mankind today. Our research in renewable energy comprise development of...

SINTEF Materials and Chemistry have a strong position in research and development of drilling applications with focus on advanced materials and technologies as well as advanced drilling models...