Accelerating battery materials research with linked data and automated workflows

Speaker: Corsin Battaglia (Empa)

I will present an overview of our efforts in developing Aurora, an automated robotic battery materials research platform, designed to accelerate the validation of novel battery materials in battery cells. Our platform is powered by automated workflow and data management. I will describe how we structure, annotate, and link our data in compliance with FAIR data principles, employing the BattINFO ontology and how we leverage Bayesian optimization to define a series of experiments. I will conclude by summarizing how we leverage the multimodal self-learning capabilities of large language models in our research.

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