The Fraunhofer Institute for Algorithms and Scientific Computing SCAI combines know-how in mathematical and computational methods with a focus on the development of innovative algorithms and their take-up in industrial practice – bringing benefits to customers and partners. SCAI‘s research fields in Computational Science include machine learning and data analysis, optimization, multiphysics, energy network evaluation, virtual material design, multiscale methods, high performance computing, and computational finance.
Applied research and development at the Virtual Materials Design department focuses on data-driven design, multiscale modeling, and efficient simulation techniques. State-of-the-art numerical methods for high-dimensional problems, optimization, machine learning, and (big) data analysis are combined in a sophisticated way with in-house expertise, empirical data, and custom-built software leading to a comprehensive and effective data-driven virtual materials design approach for new and optimized materials.