Fraunhofer Institute for Algorithms and Scientific Computing SCAI

Fraunhofer SCAI

Fraunhofer SCAI develops innovative methods in Computational Science and actively supports their take-up in industrial practice. The institute combines mathematical and computational knowledge with a focus on algorithms – bringing benefits to customers and partners.

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Software AutoBarSizer

Generate optimized layouts for the cutting of stock items, namely steel profiles (metal beams) and other bars and rods.

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AETIONOMY

Organising Knowledge about Neurodegenerative Disease Mechanisms for the Improvement of Drug Development and Therapy.

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Closer to Reality

Wind turbines, airplanes and artificial heart valves are examples for structures, whose development requires the solution of coupled fluid dynamics and structural mechanics problems, or – more generally – multidisciplinary problems. The MpCCI CouplingEnvironment provides a framework for the solution of multidisciplinary applications.

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RoKoRa

Secure human-robot collaboration using high-resolution radars

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Creating New Materials

TREMOLO-X is a powerful software package used for the numerical simulation of interactions between atoms and molecules, the molecular dynamics. It provides the environment to design new innovative materials. TREMOLO-X is successfully applied in many projects in nanotechnology, material science, biochemistry and biophysics.

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The VMAP project

aims to gain a common understanding of and 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.

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Optimizing Energy Networks

In order to enable and increase the use of renewable energy, the German government supports the modernization and building of thousands of kilometers of new electricity networks. SCAI's software package MYNTS analyzes and optimizes transport networks for electricity, gas and water right from the design stage, makes upgrading more flexible and reduces energy consumption and costs.

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Software AutoPanelSizer

AutoPanelSizer provides an answer to the question of how to place rectangular parts on rectangular plates as efficiently as possible.

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Machine Learning

 

Research Center for Machine Learning

The direct transfer of ML research to industry is the aim of the Fraunhofer Research Center for Machine Learning within the research cluster »Cognitive Internet Technologies«.

 

Software and Services for the Automotive Industry

Fraunhofer SCAI cooperates with manufacturers and suppliers from the automotive industry in many areas.

 

Fairs and Events

Press - 18/01/2019

New analysis methods facilitate the 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 be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts.

Press - 19/11/2018

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.

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