EIC – ARPA-E Workshop on: Artificial Intelligence as a tool to accelerate scale-up of advanced materials
Rationale
The potential to design and scale-up custom-made advanced materials could significantly impact new applications and open new possibilities for innovation.
There is a pressing need to accelerate all stages of advanced materials development, including their design, scale-up, and manufacturing capabilities (from lab to production), as demand for these materials is expected to grow substantially in the coming years.
In this context, the traditional approach of design, synthesis, characterization, and testing is shifting toward a more integrated, closed-loop process. However, the timeline for bringing new materials to market remains a strategic challenge. Fast-tracking the development and deployment of new technologies requires a multidisciplinary collaboration among academia, governments, and industry.
Artificial intelligence (AI) is a key technology to speed up the transition from lab to production. AI techniques, including machine learning (ML) and deep learning (DL), play a vital role in accelerating materials development, as their computational strategies improve automatically with more data. Additionally, AI-enhanced robotic platforms, known as self-driving laboratories or materials acceleration platforms, offer greater control and precision in experiments, producing high-quality data to facilitate faster scaling of advanced materials.
This workshop, co-organized by the European Innovation Council (EIC) and the Advanced Research Projects Agency – Energy (ARPA-E), will highlight the latest trends in the use of AI for advanced materials design and scale-up.
Find the agenda here.