Research output per year
Research output per year
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:- Computational mathematics
- Inverse problems
- Mathematical modeling, analysis, and simulation
- Optimization and control
- Computational uncertainty quantification
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):
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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
Profiles
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Martin Skovgaard Andersen
- Department of Applied Mathematics and Computer Science - Associate Professor
- Scientific Computing
Person: VIP
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Mathilde Guldbæk Arentsen
- Department of Applied Mathematics and Computer Science - Industrial PhD Student
- Scientific Computing
Person: VIP
Research output
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A Digital Twin Framework for Massively Parallel Simulations of Water Waves interacting with Large-Scale Offshore Structures
Visbech, J., Melander, A. & Engsig-Karup, A. P., 2025, (Accepted/In press). 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Open AccessFile -
Aging alters calcium signaling in vascular mural cells and drives remodeling of neurovascular coupling in the awake brain
Zhang, X., Tao, L., Nygaard, A. H., Dong, Y., Groves, T., Hong, X., Goddard, C. M., He, C., Postnov, D., Allodi, I., Lauritzen, M. J. & Cai, C., 2025, (Accepted/In press) In: Journal of Cerebral Blood Flow and Metabolism. 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
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A High-Order Hybrid-Spectral Incompressible Navier–Stokes Model for Non-Linear Water Waves
Melander, A., Ebstrup Bitsch, M., Chen, D. & Peter Engsig-Karup, A., 2025, (Accepted/In press) In: International Journal for Numerical Methods in Fluids. 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
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Modelling and Algorithms for Optimizing Obesity Treatment on GLP1
Arentsen, M. G. (PhD Student), Jørgensen, J. B. (Main Supervisor), Mørup, M. (Supervisor), Bengtsson, H. (Supervisor) & Mohebbi, A. (Supervisor)
01/04/2025 → 31/03/2028
Project: PhD
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Scientific machine learning for 6 degree of freedom (DoF) augmented reality (AR)/ mixed reality (MR) audio rendering
Calafà, M. (PhD Student), Jeong, C.-H. (Main Supervisor), Engsig-Karup, A. P. (Supervisor) & Choi, J.-W. (Supervisor)
01/03/2025 → 29/02/2028
Project: PhD
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Neural networks-based X-ray tissue imaging for robotic automation
Pedersen, R. J. (PhD Student), Dahl, V. A. (Main Supervisor), Jørgensen, J. S. (Supervisor) & Nielsen, G. G. B. (Supervisor)
01/03/2025 → 29/02/2028
Project: PhD
File
Activities
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Digital Twin for Microscopy
Hansen, P.-E. (Guest lecturer), Siaudinyte, L. (Guest lecturer), Rømer, A. T. (Guest lecturer) & Karamehmedovic, M. (Guest lecturer)
7 Apr 2024 → 11 Apr 2024Activity: Talks and presentations › Conference presentations
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Far-field super-resolution imaging using scanning photonic nanojets
Karamehmedovic, M. (Guest lecturer)
7 Apr 2024 → 11 Apr 2024Activity: Talks and presentations › Conference presentations
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Forward Uncertainty Quantification for the Helmholtz Equation
Karamehmedovic, M. (Guest lecturer)
28 Sept 2022Activity: Talks and presentations › Conference presentations
Datasets
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The DeRisk Database
Pierella, F. (Creator), Lindberg, O. (Creator), Bredmose, H. (Creator), Bingham, H. B. (Creator), Read, R. (Creator) & Engsig-Karup, A. P. (Creator), Technical University of Denmark, 2020
DOI: 10.11583/dtu.10322033.v1, https://data.dtu.dk/articles/dataset/The_DeRisk_Database/10322033/1
Dataset
Press/Media
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The Dane's Academy : Ph.d. in 3 minutes: Optimal Flows
Nørtoft, P.
05/04/2013
1 Media contribution
Press/Media: Press / Media
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Ph.d. Cup 2013: Using a computer to find the best shapes in flows
Nørtoft, P.
01/03/2013
1 Media contribution
Press/Media: Press / Media