At the eScience Center we can provide the support you need to solve large, advanced, complex computational problems which are too big for a single machine to compute.

Check out the below videos for more information.

Department of Physics and Nanotechnology – Aalborg University (AAU)

One of the research objectives our group is currently pursuing is to calculate the linear and non-linear optical response of certain low-dimensional semiconductor materials in external electro-magnetic fields. The optical response is important if such materials are to be used in opto-electronic devices such as photo-detectors or light-emitting diodes.

We use a number of numerical methods to calculate the band structure and the optical response of these semiconductor materials, including DFT calculations from software packages such as ABINIT and also our own code. Calculating the band-structures and optical response of materials in external fields is often computationally demanding but can parallelized and is highly suited for the use of HPCs.

Faculty of Science – Department of Physics, Chemistry and Pharmacy (FKF) – SDU

My research focuses on multi-scale modelling of complex systems with different architectures and microscopic interactions under various geometries and environmental conditions, in order to target new material properties and performance. The systems at hand are characterised by different length scales, and the system sampling usually involve a large number of particles (monomer/bead units) and of run necessary in order to get good statistics.

I was involved in three different projects running on ABACUS 2.0.

My main project involved the computational synthesis of microgels, obtained via inter-molecular cross-linking of polymers. We accurately characterised the morphology and structure as well as the kinetics of the cross-linking process. We also studied the swelling and deswelling behaviour.

One project-student I supervised performed simulation with LAMMPS in order to explore the mechanisms behind the anomalous diffusion of particles in a membrane from a numerical point of view in order to test theoretical previsions. This project was only preliminary, and gave insight in order to improve the properties of the model we used.

The second project-student I supervised simulated polymers in crowded environments. The student used an idealized model, and analysed the effects of crowding on polymers, characterising the response in terms of the dynamics, through the Mean Squared Displacement, and in terms of polymer structure via the calculation of asphericity, end-to-end distance and polymer pro lateness.

Faculty of Science – CP3-origins – Department of Mathematics and Computer Science (IMADA) – SDU

Researchers at the CP3-Origins centre of excellence use the ABACUS 2.0 supercomputer to study new theoretical models to explain how the Universe is made at its most fundamental level. Supercomputers help researchers where experiments and observation reach their limits.

With the Nobel-prize discovery of the Higgs boson in 2012 after decades of searches, the last missing piece of the Standard Model of particle physics was put in place. Nonetheless many are the mysteries that the Standard Model cannot explain: why is the Higgs so light? why is there more matter than anti-matter? what is dark matter and dark energy?

At the CP3-Origins centre for Cosmology and Particle Physics Phenomenology, researchers are exploring the idea that the Higgs particle is made up of smaller pieces, i.e. it is a composite particle that behaves almost identically to the Standard Model Higgs boson. The existence of these new smaller pieces could explain why the Higgs is so light and at the same time they could be re-arranged to form dark matter particles not present in the Standard Model.

Understanding the dynamics of these composite particles is no easy task, as the    theoretical models are so complex that no exact solutions exists. To get an accurate picture, researchers at CP3-Origins rely on the use of state-of-the-art supercomputers, such as ABACUS 2.0.