Max Robotics — Global Service Robot Directory + US Certification

About

Jared Mitchell is a pioneering researcher at the intersection of battery science, robotics, and machine learning, whose work is accelerating the discovery and optimization of next-generation energy storage materials. His most significant contributions center on developing autonomous experimental platforms that dramatically compress the traditional timeline of battery electrolyte development — a process that historically requires years of painstaking trial and error. Mitchell's landmark research, most notably his 2020 and 2022 papers on autonomous battery electrolyte discovery (earning 164 and 180 citations respectively), demonstrated how robotic experimentation coupled with machine learning algorithms — particularly Bayesian optimization — can perform hundreds of sequential experiments to identify high-performing electrolyte formulations with minimal human intervention. His custom-built automated platform "Clio," paired with the Dragonfly optimization framework, exemplifies this vision in practice for non-aqueous Li-ion systems, directly relevant to electrifying transportation and aviation. Beyond non-aqueous systems, Mitchell has also contributed to benchmarking predictive models for aqueous electrolytes, broadening the scope of computational tools available to the battery community. With nearly 400 cumulative citations across his career, his research is shaping a new paradigm of self-driving laboratories that promises to revolutionize materials discovery far beyond batteries alone.