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    Richard Petersens Plads, Building 324

    DK-2800 Kgs. Lyngby

    Denmark

Organisation profile

Organisation profile

This section defines scientific computing as the combined interdisciplinary activity bridging applications, matematical modeling, theory, and the associated numerical algorithms and their implementations, i.e. the science of using computers and mathematics to solve problems from science and engineering

The solution of today’s challenging problems in society and science requires sophisticated mathematical methods and computational algorithms as well as the use of modern computer architectures.

What does the Section do? The Section's expertise includes many of the aspects of Scientific Computing: from the modeling of physical phenomena to developing, analyzing, and implementing methodologies for the solution of real-life problems.

The research in the Scientific Computing focuses on:

Examples of applications:

  • Oil and gas exploration
  • Control and optimization of energy systems
  • Insulin control technology
  • Tomography and imaging
  • Computational structural biology
  • Computational marine hydrodynamics

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water

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Dive into the research topics where Scientific Computing is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or