The SDL network "Accelerated & Autonomous Material Discovery" brings together the expertise of top-level research in Helmholtz Information and Helmholtz Energy in 12 SDLs for material classes of high strategic relevance. The implementation of this concept accelerates the development of new materials that are urgently needed for the realization of a CO2-neutral economy, but also to reduce dependence on individual raw material sources. International leadership roles in the areas of cluster-based and high-entropy materials are the ideal prerequisite for long-term success. Based on a broad range of materials researched at the participating centers, The SDL network addresses the development of non-toxic substitution materials and a new generation of materials for energy storage, energy conversion and photonics for fast communication, materials for medicine and space research as well as for sustainable catalysis. The SDL network is located at KIT, HZB and FZJ and is designed as a multidisciplinary research environment with the involvement of industrial partners.
Development of environmentally friendly substitutes for toxic or poorly available materials through high-throughput screening
Automated synthesis and characterization of tailor-made polymers through machine-aided optimization of material properties
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High-throughput development and printing of functional (meta-) materials with new mechanical, optical or electrical properties
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Integration of electronic materials, components and systems using resource-saving additive manufacturing processes
Research and automated synthesis of molecular alloys and glasses with unique mechanical and functional properties for new applications

Tunable smart hybrid materials with physical properties of the inorganic component and chemical properties of the organic component

Fine-tuning and combination of coupled material properties not found in nature through the concept of high-entropy materials

Development and optimization of novel battery materials through accelerated synthesis, including automated screening and machine learning
Automated development and testing of new materials for efficient energy conversion using high-throughput autonomous laboratories

Development of photonic materials with customized optical properties through accelerated materials research and testing methods
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Accelerated material development and testing of materials for efficient photovoltaic cells
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Automated research and optimization of catalysts for chemical reactions to promote sustainable and efficient processes