Materials Acceleration Platforms (MAPs)

The MAP concept combines robotic materials synthesis and characterization with AI-driven data analysis and experimental design, as well as advanced simulation techniques. This creates an accelerated, closed-loop automated research cycle. This enables material and device development at least ten times faster than traditional scientific methods and at a fraction of the cost. Highest quality, integrity and reproducibility of research data are realized along the way.

The ability to quickly find solutions for Advanced Materials (so-called AdMats) tailored to geopolitical and regional supply chain constraints directly supports technological and economic sovereignty.

Advanced Materials (AdMats) play a critical role in today's society, whether in healthcare, energy, or industrial processing. They enable new medical methods and devices, improved energy production and use, and contribute to the defossilization of old industrial processes such as chemical and steel production.


For more sustainability: develop better materials faster

The urgency to reduce CO2 emissions is clearly identified, but new challenges such as limited access to energy sources and raw materials, uncertain supply chains, geopolitical factors and the desire for greater sustainability have limited our regional ability and capacity to quickly find new materials solutions.
The likelihood of achieving a comprehensive and rapid transition from a fossil fuel-based society to renewable energy and green technologies depends significantly on our collective ability to develop a broad range of novel materials and products. That is why we are pursuing the Materials Acceleration Platforms approach.


Sustainability at Fraunhofer ISC


Automation in materials research

At ISC, there are already several MAPs projects on different materials and related processes. We not only develop the appropriate IT infrastructure but also develop the robotic hardware. We are happy to advise companies on their first steps in this new innovative field. Some examples can be found here:


Glass Screening

This process automation enables systematic development of glass systems due to its high reproducibility and digital process control. It generates all necessary data and leads to process optimization.


Lab Automation

Quality assurance, cost savings and occupational safety are just three of many aspects achieved in laboratory automation. Among other things, we develop new concepts for automated processes in material production and testing.


Battery evolution

Invent how to invent: develop and optimize future sustainable and high-performance batteries faster.