Publication date: 15th December 2025
The substitution of critical raw materials (CRMs) in electrochemical technologies requires a paradigm shift toward accelerated, data-driven material discovery. Material Acceleration Platforms (MAPs) embody this transformation by integrating simulation-based pre-screening, proxy experiments for rapid lead generation, and upscaling/technology assessment into a unified, closed-loop workflow. This approach enables swift progression from computational predictions to experimental validation, ensuring that promising candidates are not only identified but advanced to device-level testing and comprehensive characterization without delay. Furthermore, they offer testbeds for inverse design, where the application-relevant properties drive the design and down-selection process instead of the definition of an ideal material composition or microstructure target.
MAPs are uniquely suited for multi-objective optimization, addressing the quaternity of performance, durability, sustainability and feasibility and are thus a natural fit for Pareto optimization strategies. They can explore large parameter spaces efficiently while embedding additional metrics alongside functional performance. Our MAP implementations focus on advanced materials for energy conversion (water splitting, CO₂ and nitrate reduction) and corrosion protection technologies. Automated workflows enable electrodeposition of thin alloy films, followed by electrochemical screening for stability and activity under technologically relevant conditions. For the lead generation we have established application-tailored proxy electrochemical testing sequences. Crucially, the success of MAPs depends on automated data analysis pipelines supported by trustworthy, standardized workflows and rich metadata. These elements form the backbone of autonomous experimentation.
This presentation will summarize the design and construction phases of our MAPs, their constituent modules and workflows. It will also include deep dives into examples on Pareto optimization and evaluation of proxy electrochemical experiments for MAP-deployment.
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