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.
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.
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.
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.
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.
The "COVID-19 Knowledgespace" offers innovative tools and services. These include the Biomedical Knowledge Miner "BiK>Mi", the knowledge discovery software "SCAIView" and a cause-and-effect model for SARS-CoV-2.