SDL Materials Science

Engineering applications in materials science via joint research, development and support in simulation and data-intensive computing

Materials science simulations face domain-specific challenges related to the extreme heterogeneity, diversity and complexity of materials data and models. An additional challenge is to extend the limits of state-of-the-art methods in terms of scalability, improving the numerical complexity and supporting the portability of high performance codes between different computer architectures, as well as enhancing the exploitation of existing data modeling and scalability frameworks by domain scientists. The main goal of the Simulation and Data Life Cycle Lab Materials Science within the “Engineering Digital Futures” program in Research Field Information of the Helmholtz Association is to bring together existing high performance computing, data science and software engineering methods to develop a tailored approach to address these domain-specific challenges through research and support in equal measure.