The development of sustainable materials demands optimized compositions for delivering high performance, while also ensuring long-term stability under realistic operating conditions. Conventional experimental approaches remain too slow and are not sufficiently interconnected. The synthesis, characterization, and data analysis are often carried out separately rather than within a unified workflow. This symposium explores advanced high-throughput experimentation and automated workflows to accelerate the discovery and broaden the understanding of sustainable energy materials. It focuses on interoperable workflows that link synthesis, characterization, and data analysis to enable the generation of reliable, comparable, scalable and reusable datasets.

The symposium will address novel experimental platforms and methodologies, including:

• Materials acceleration platforms (MAPs) and self-driving labs (SDLs)
• Automated experimental and modelling workflows
• Innovative experiments for accelerated stability and durability assessment
• Standardization of data collection and evaluation in interoperable workflows to increase the comparability and reusability of data
• Digital twins at material and device level

The goal of the symposium is to create an inter- and transdisciplinary medium to discuss current developments and challenges as well as best practices in automated and data-driven materials research for sustainable energy materials