SeRC – Swedish e-Science Research Centre

GROMACS – cited once every 70 minutes

IMPACT CASE:

This SeRC-developed supercomputer tool provides the necessary foundation for understanding the dynamics of molecular life science.

High-performance CFD with Nek5000

IMPACT CASE:

SeRC is investing in the continuous development of the open source simulation code Nek5000 that is able to perform largest-scale turbulence simulations using the most powerful supercomputers.

Knowledge transfer in deep learning

IMPACT CASE:

Deep learning outperforms all earlier types of machine learning, especially with its capability – discovered by a SeRC researcher – to transfer knowledge from one task to another.

Learning “hard”ness

IMPACT CASE:

In this project, SeRC is developing a machine-learning approach to tailor-explore the big digitalised data of materials and accelerate the search of advanced coatings serving both the robustness and accuracy of manufacturing cutting tools.

Brain simulation

IMPACT CASE:

Unlocking the mysteries of the brain poses a lot of challenges that can only be faced by coordinated cross-disciplinary efforts including both experimental and computational science.

Cancer screening with AI

IMPACT CASE:

The Stockholm3 prostate-cancer test uses e-Science to boost efficiency, both in terms of effectiveness and costs, far beyond what traditional tests can provide. SeRC is one of the developers of the test.

Immersing the public in the scientific process

IMPACT CASE:

SeRC’s combination of hardware, methods and experts is the perfect foundation for creating new ways of presenting science to the scientists of the future. OpenSpace is a great example of this.

Climate modelling and weather prediction

IMPACT CASE:

SeRC research makes us understand the processes leading to Arctic climate change amplification and how to predict weather in Arctic conditions.

Latest News

7 May, 2025 in News

The program of the The 16:th annual SeRC meeting is now available.

The program of the The…

7 May, 2025 in News

This year’s upcoming Annual Meeting in May 15-16 picks up the theme of Machine Learning (ML) in science.

Decoding complexity: how machine learning…

19 September, 2024 in News

The NAISS Large and LUMI Sweden Fall 2024 calls are open

Deadline for submission: 11 October…

4 April, 2024 in News

Registration for the SeRC annual meeting is open

The registration for the SeRC…

21 March, 2024 in News

Scientific machine learning for simulation and inverse modelling

Do you want to learn…

The 16:th annual SeRC meeting, which will take place May 15-16, lunch-to-lunch at Skåvsjöholm (https://www.skavsjoholm.se) northeast of Stockholm. Read more ..

Scientific Highlights

SCIENTIFIC HIGHLIGHT

Evolutionary streamlines
for automatic flow feature
extraction

Evolutionary algorithms find
close-to-optimal solutions for
tasks by imitating biologically
mechanisms like selection,
mutation and recombination.

SCIENTIFIC HIGHLIGHT

Feature level sets for
multi-field visualization

Iso-surfaces or level-sets provide
an effective and frequently used
means for feature visualization.

SCIENTIFIC HIGHLIGHT

Charge-flow network for interactive
exploration of data from organic
solar cell simulations

In the field of organic electronics, understanding
complex material morphologies and their role
in efficient charge transport in solar cells
is extremely important.

Latest News

The program of the The 16:th annual SeRC meeting is now available.

This year’s upcoming Annual Meeting in May 15-16 picks up the theme of Machine Learning (ML) in science.

The NAISS Large and LUMI Sweden Fall 2024 calls are open

Registration for the SeRC annual meeting is open

Scientific machine learning for simulation and inverse modelling

The 16:th Annual SeRC Meeting

Scientific Highlights

Upcoming Events

The 16:th annual SeRC meeting

Management group meeting

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