Projects funded by the European Commission



Organising Mechanistic Knowledge about Neurodegenerative Diseases for the Improvement of Drug Development and Therapy. Project duration: 01/2014 - 12/2018


PHAGO - a new approach to help patients with Alzheimer's disease

It was only recently discovered that the innate immunoreceptor genes TREM2 and CD33 / SGLEC3 play a role in Alzheimer's disease. However, the significance of the identified genes and of the cellular mechanism has not been sufficiently investigated. The PHAGO project is designed to close these knowledge gaps and develop new tools and test methods that work on these immune receptors and open the way to the development of drugs that inhibit the course of the disease. This will allow new therapies for Alzheimer's patients. The project is funded by the Innovative Medicine Initiative (IMI), a public-private partnership between the European Union and the Federation of Pharmaceutical Industries in Europe (EFPIA).
Project duration: 11/2016 - 10/2021



The European research initiative EPAD targets to improve the understanding of the early phases of Alzheimer's disease and to develop provisions which contribute to the prevention of Alzheimer. Project duration: 01/2015 - 12/2019

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Fortissimo 2

Fortissimo is a collaborative project that will enable European SMEs to be more competitive globally through the use of simulation services running on a High Performance Computing cloud infrastructure. SCAI contributes to FORTISSIMO with its expertise in two technology domains:

  • advanced data analytics for big amounts of numerical simulation data and
  • flexible licensing mechanisms for pay-per-use models in clouds.

Project duration: 11/2015 - 10/2018

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HBP - The Human Brain Project

In the "Human Brain Project" (HBP), which is funded by the European Commission, leading research institutions work together to better understand the human brain. For that purpose the project partners will develop new simulation methods, for example on high performance computers. The project aims to develop new therapeutic approaches for the treatment of brain diseases and new methods of High Performance Computing. Project duration: 10/2013 - 03/2018

Projects funded by the German Federal Ministry of Economic Affairs and Energy (BMWi)

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MathEnergy - Mathematical Key Technologies for Energy Networks

The project MathEnergy develops mathematical aproaches to tackle the challenges which arise in the context of the energy turnaround. In order to adapt the workload and the expansion of the energy networks, offers and demands have to be adjusted and flexibilities among the energy sources have to be utilized. For this purpose, network-transcending models and model-based monitoring, controlling and evaluation concepts are developed. The goal is to develop a software package for hierarchical complex network models which supports stochastically varying input data and workflows for the integrated simulation and analysis of network-transcendent scenarios of the energy supply with power and gas. Project duration: 10/2016 - 09/2020
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Projects funded by the German Federal Ministry of Education and Research (BMBF)


VMAP - Virtual Material Modelling in Manufacturing

The VMAP project aims to gain a common understanding of interoperable definitions for virtual material models in CAE. Using industrial use cases from major material domains and with representative manufacturing processes, new concepts will be created for a universal material exchange interface for virtual engineering workflows.
Project duration: 09/2017 - 08/2020

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RoKoRa - Secure human-robot collaboration using high-resolution radars

In the RoKoRa project, the aim is to exclude hazards of humans by robots. For this purpose, compact radar systems are used. They offer many advantages: radars operate independently of any lighting and are largely insensitive to environmental conditions. In addition, radar sensors can measure not only the distance to the sensor, but also the motion vector of the detected targets. The sensor system to be developed significantly improves personnel safety in human-robot collaboration, resulting in new degrees of freedom for a safe cooperation with larger robots and at higher distance-dependent execution speeds. In the project, SCAI develops a software component for environmental perception for situational analysis and decision-making using methods of machine learning.
Project duration: 07/2017 - 06/2020

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The ITEA project Flex4Apps addresses the challenges of monitoring and optimizing large, distributed, cyber-physical systems. The goal of the project is to provide a solution to manage the high data volumes and complexity of system monitoring whilst disturbing the target system as little as possible.
Project duration: 08/2016 - 07/2019
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In the project IDSN (Integrative data semantics for neurodegenerative research) Fraunhofer SCAI, the Deutsche Zentrum für neurodegenerative Erkrankungen (DZNE) and the Universitätsklinikum Bonn (UKB) cooperate to improve the early recognition of dementia diseases. For that purpose they analyze clinical data and research data in an overall view.
Project duration: 03/2016 - 02/2019
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Aim of the project WAVE is the development and implementation of a portable HPC toolbox for the simulation and inversion of wave fields (including reverse time migration). Project duration: 02/2016 - 01/2019
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VAVID allows technology firms to get a better grip on the massive amount of data they need to handle. The partners in this project are developing methods to tackle the enormous volumes of data that accumulate at engineering departments. Examples of such data include simulation results and the sensor data received from machines and installations. VAVID works by using comparative analysis and data compression to reduce data to its relevant core. This saves on the costs of data storage and creates the transparency needed by engineers to optimize both production and products. Project duration: 09/2014 - 12/2017



Growth and processing of materials is an integral part of chemical and electronic engineering. As these industries are introducing nanoscale technologies the processes will require atomic-scale precision which is difficult and costly to obtain by experimental trial and error. With the newly developed tool it will be possible to simulate atomic-scale mechanisms under different process conditions, providing valuable input to the process optimization which will reduce the cost of developing new materials. Project duration: 06/2015 - 05/2018
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In the Neuroallianz Consortium various academic institutions and companies collaborate in strategic research partnerships that develop new therapeutic and diagnostic­ approaches of neurodegenerative diseases. SCAI contributes a collaborative information technology platform to support data exchange, intelligent data analysis, and disease-centric knowledge discovery for the partners. Project duration: 06/2013 - 05/2018
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Further Funded Projects

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Modeling and optimization of the coupling of energy sectors for the flexibilization of the energy infrastructure.
Duration: 06/2016 - 06/2019
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Reaktionskinetische Modelle

The project Identifikation physikalischer reaktionskinetischer Modelle unter Einsatz von Metamodellierung am Beispiel der alkalischen Elektrooxidation von Methanol  funded by the DFG models and simulates mikro- and macrokinetics speed determining steps of the alkaline oxidation of methanol on the basis of a suitable combination of physical approaches and metamodelling. Project duration: 10/2015 - 09/2017
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The project CharMe-uPS is funded by the Forschungsvereinigung der Arbeitsgemeinschaft der Eisen und Metall verarbeitenden Industrie e.V. (AVIF) and works on the characterization and meta-modelling of heterogeneous spot-welded joints for crash simulation. Project duration: 07/2015 - 12/2017