In a feature on how machine learning and robotic laboratories are reshaping materials research, AZoM highlights Dunia as one of the commercial platforms putting closed-loop discovery into practice. The article describes Dunia's Design-Make-Test-Analyze cycle, where physics-informed models propose formulations and robotics run electrochemical experiments, citing a campaign of more than 2,500 tests on supercapacitor additives that delivered a 45% capacitance increase, as well as ML-guided catalyst ink development for AEM electrolysis. It also points to Dunia's emphasis on full traceability from measurement back to sample as a key part of making AI-driven discovery reliable.
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