New School for Simulation and Data Sciences (SSD)

The sector teaching, young researcher qualification, and training within the Center for Simulation and Data Sciences is represented by the School of Simulation and Data Sciences (SSD). The SSD is the consolidation of the German Research School for Simulation Sciences (GRS) and the AICES Graduate School and represents further advancements as well as new projects.

The following projects are part of the SSD:

1) High definition analysis of packed bed chromatography - Prof. Marek Behr (RWTH), Dr. Eric von Lierse (FZJ)

2)Generalized Langevin equation-based simulations for mesoscale description of neural cascades - Prof. Benjamin Stamm (RWTH), Dr. Vania Calandrini (FZJ)

3) Rigidity theory-based prediction of protein stability in ionic liquids and seawater for guiding protein engineering - Prof. Ulrich Schwaneberg, Dr. Mahdi Davari (RWTH), Prof. Holger Gohlke (FZJ)

4) Implant topology optimisation for improving adhesion at the bone-implant interface- Prof. Roger A. Sauer (RWTH), Dr. Bo Perrson (FZJ)

Massively parallel adjoints - Prof. Uwe Naumann, Dr Johannes Lotz (RWTH), Dr. Eric von Lieres, Dr. Jörn Ungermann (FZJ)

6) Efficient all-atom RNA and DNA simulations - Prof. Ivan Costa (RWTH, UK Aachen), Prof. Giulia Rossetti, Dr. Sadipan Mohanty (FZJ)

7) Prediction of ligand protein interactions and brain singling cascades using machine learning approaches: olfaction as a test scenario - Prof. Marc Sehr (RWTH), Prof. Mercedes Alfonso-Prieto, Prof. Alejandro Giorgetti (FZJ)

8) Understanding dendritic failure in all-solid-state batteries: An ab initio-informed numerical multiscale model framework - Dr. Stefanie Braun (RWTH), Dr. Claas Hüter (FZJ)

9) Advanced deep learning strategies for multimodal data integration in functional neuroimaging - Prof. Irene Neuner (RWTH), Dr. Jürgen Dammers (FZJ)

10) Renormalized equations of motion for neuronal networks - Prof. Carsten Honerkamp (RWTH), Prof. Moritz Hellas (FZJ)

11) Data-driven analysis of medical and simulation data for improved patient treatment in rhinology - Dr. Andreas LIntermann (RWTH), Dr. Jenia Jitsev, Prof. Morris Riedel (FZJ)

12) Machine learning-guided multischale simulations to study ion channel clusters - Prof. Angelika Lambert (RWTH), Dr. Jan-Philipp Machines (FZJ)

13) Learning-to-learn: Hyperparameter optimisation of spiking neuronal networks using HPC resources - Prof. Michael Herty (RWTH), Dr. Alexander Peyser (FZJ)

14) DeFRoSTEr: Deep fluids and their relation to subglacial tunnel valley erosion - Dr. Sönke Reiche, Dr. Julia Kowalski (RWTH), Prof. Stefan Koller (FZJ)

15) Accelerator architectures for DFT hybrid functionals - Dr. Christian Terboven (RWTH), Dr. Daniel Wortmann (FZJ)

If you want to read more information about the SSD, please click here.