Projects funded by the European Commission

SONAR – Better Batteries for Electricity from Renewable Energy Sources

Organic redox flow batteries (RFBs) are considered to be a promising approach for the storage of temporary surpluses of renewable energies. The SONAR project aims at capturing the entire development process with all relevant aspects in a digital manner in order to accelerate the screening for suitable substances and the optimization of a battery system's design for specific operating conditions. The project partners develop tools and workflows for investigating electroactive materials up to whole battery systems. To this end, they combine simulation methods on different physical scales – ranging from the electronic/quantum mechanical level to the visible, macroscopic behavior. Factors such as cost, lifetime and performance are taken into account in order tto compare competing energy storage technologies comprehensively.
Project duration: 01/2020 - 12/2023

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VirtualBrainCloud – Personalized Recommendations for Neurodegenerative Diseases

In the VirtualBrainCloud project, Fraunhofer SCAI is working with 16 European partners on a cloud-based IT platform that enables the simulation of communication paths in the brain. The individual simulation of patient brains supports physicians in finding the right diagnosis and therapy for people with neurodegenerative diseases. This is usually difficult because the course and symptoms of diseases such as Alzheimer's are often very different. With this platform, it will be possible to record the state of health of the brain with little effort. Regular routine examinations will enable physicians to detect and treat Alzheimer's disease at an early stage.
Project duration: 12/2018 - 11/2022

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RADAR-AD (Remote Assessment of Disease and Relapse – Alzheimer's Disease)

In the RADAR-AD project, the project partners will develop methods with which the functional loss in the brain of Alzheimer patients can be measured at an early stage - not only in hospitals but also on an outpatient basis. So-called remote measurement tools (RMT) will enable remote assessments and thus improve patient care. The project is funded by the Innovative Medicine Initiative (IMI), a public-private partnership between the European Union and the European Federation of Pharmaceutical Industries and Associations (EFPIA).
Project duration: 01/2019 - 06/2022



New analysis methods improve evaluation of complex engineering data

A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will then be able to deliver more accurate simulation results. Fraunhofer SCAI is developing efficient data analysis methods for the much larger amounts of data generated in this way, which will also provide the engineer with detailed insights into the complex technical interrelationships.
Project duration: 12/2018 - 11/2021

DARE – Delivering Agile Research Excellence on European e-Infrastructures

The aim of the DARE project is to provide a new working environment for scientific communities, wrestling with the challenges of extreme data, computing and complexity. For that purpose, DARE includes experts and use cases from two research infrastructures: EPOS (European Plate Observing System) and IS-ENES (Infrastructure for the European Network of Earth System Modelling), engaging in the co-design and production use of extreme methods that address these challenges. The resulting platform and development context will build transparent, traceable and developer-friendly bridges over existing European e-infrastructures and services and consequently allow for easily usable and reproducible huge data-driven experiments, and rapid prototyping. SCAI will take part in various aspects of the project but primarily contribute its expertise as an e-infrastructure expert in service integration and operations on highly distributed infrastructures.
Project duration: 01/2018 - 12/2020 – Supporting European Experts Presence in International Standardisation Activities in ICT defines a pragmatic approach to reinforcing EU expert presence in international ICT standardisation. By setting up, managing and monitoring a continuous open call, will provide a streamlined process supporting the participation and contribution of EU specialists in SDOs & SSOs in the 5 essential building blocks of the Digital Single Market (DSM), viz.: cloud computing, 5G communications, IoT, cybersecurity & data technologies.
Project duration: 01/2018 - 12/2019


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


The objective of OpenRiskNet is to develop an open e-infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials.
Project duration: 12/2016 - 11/2019

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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 - 03/2020

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Rohan – Reference Ontology Hub with Application Services for Neurosciences

The aim of the Rohan project is to provide researchers with easier access to important neuroscientific information. A user-friendly platform will be developed to enable users to access all terms related to human brain diseases and related ontologies. Ontologies show how technical terms relate to each other. Among other things, the platform is intended to support biologists, clinical researchers and data scientists.
Project duration: 04/2018 - 03/2020

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)

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MaGriDo – Mathematics for Machine Learning Methods for Gaph-Based Data with Integrated Domain Knowledge

MaGriDo's goal is to (further) develop and analyze deep neural networks (NNs) for industrial problems, which allow existing domain knowledge to be incorporated into the architecture of the networks. Such a hybrid approach can make use of the complementary strengths of "end-to-end" learning approaches and "a-priori models/rules". This approach promises more efficient solutions for many fields of application. For example, the amount of data required is reduced, or the predictions of the ML model are consistent with existing knowledge.

Project duration: 04/2020 - 03/2023

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ViPrIA – Virtual Product Development Using Intelligent Assistance Systems

The goal of the project ViPrIA is the development of intelligent assistance systems based on artificial intelligence and machine learning approaches to support engineers in simulation-based, virtual product development. With the help of intelligent assistance functions, calculation engineers are to be supported in the development process with complex decisions and relieved of routine tasks.
Project duration: 10/2019 - 09/2022

COMMITMENT – Comorbidity Modeling via Integrative Transfer Machine Learning in Mental Illness

The project »COMMITMENT - COMorbidity Modeling via Integrative Transfer machine-learning in MENTal illness« will establish an interdisciplinary research framework for the identification of systems-molecular hallmarks of psychotic and comorbid somatic diseases. The identification of shared and distinct biological profiles and their underlying pathophysiological processes will allow disentangling patient heterogeneity and provide the basis for objective tools for a personalized clinical management of psychotic disorders.
Project duration: 09/2019 - 08/2022

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NanoINHAL – In-vitro test method for airborne nanomaterials for the investigation of toxic potential and uptake after inhalative exposure using innovative organ-on-a-chip technology

The inhalative route is an important path for nanomaterials and other innovative materials in the nano- and microscale range. The lung is therefore an important target organ for acute toxic effects. At the same time, the barrier function of the lung determines the systemic uptake of the materials and the resulting effects on other organs. The aim of this project is to develop an innovative testing system for airborne nanomaterials based on the partners' existing know-how in the field of in vitro testing procedures. The project is funded within the scope of the topic Nano Safety Research: "NanoCare4.0 - Application-safe Material Innovations".
Project duration: 06/2019 - 05/2022

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Using machine learning for the early detection of anomalies helps to avoid damages

The analysis of sensor data of machines, plants or buildings makes it possible to detect anomalous states early and thus to avoid further damage. For this purpose, the monitoring data is searched for anomalies. By means of machine learning, anomaly detection can already be partially automated.
Project duration: 10/2018 - 09/2021

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ORKA-HPC: OpenMP for Reconfigurable Heterogeneous Architectures

The project "OpenMP for Reconfigurable Heterogeneous Architectures" (ORKA-HPC) aims to support the use of field programmable gate arrays (FPGAs) in heterogeneous HPC architectures. The parallel programming interface for the productive use of the FPGAs will be OpenMP. FPGAs are reconfigurable and allow very efficient implementation of algorithms; but their programming is currently very time-consuming. The developments in ORKA-HPC will significantly reduce the porting effort on FPGAs.
Project duration: 11/2017 - 10/2020


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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Further funded projects

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The big vision of Industry 4.0 is the automatic adaptation of production processes to rapidly changing requirements. The new Fraunhofer Leitprojekt EVOLOPRO wants to come a step closer to this vision. The project is part of the Fraunhofer initiative "Biological Transformation". Starting in 2019, seven institutes will jointly investigate how developmental and evolutionary biological principles can be transferred to man-made production processes. Transfer and multi-task learning play an important role here - as well as the concept of so-called "digital twins". Biology is the great role model for the work in EVOLPRO and provides important impulses for the further development of procedures.
Project duration: 01/2019 - 12/2023

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ManuBrain – universal, scalable AI-platform for industrial applications

In the »ManuBrain« project, a universal, scalable, and open platform for artificial intelligence applications in medium-sized industrial companies is being developed. The state of North Rhine-Westphalia and the European Fund for Regional Development are supporting the project over three years with a total of 1.8 million euros. Fraunhofer SCAI develops and evaluates machine learning methods for engineering applications.
Project duration: 01/2020 - 12/2022


Material models and determination of characteristic values for the industrial application of forming and crash simulation taking into account the thermal treatments during coating in the process for high-strength materials. The project is funded by the Arbeitsgemeinschaft industrieller Forschungsvereinigungen (AiF) - Forschungsvereinigung Automobiltechnik e.V. (FAT).
Project duration: 01/2018 - 06/2020

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Modeling and optimization of the coupling of energy sectors for the flexibilization of the energy infrastructure.
Project duration: 06/2016 - 12/2019
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