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About

Kevan E. Dettelbach is a leading researcher at the forefront of autonomous materials discovery, specializing in self-driving laboratories and electrochemical systems for clean energy. His most impactful work, the 2020 paper "Self-driving laboratory for accelerated discovery of thin-film materials" (43 citations), pioneered a fully autonomous loop that designs, executes, and learns from experiments—dramatically reducing the decade-long timeline typically required to develop commercially viable materials for clean energy applications. Dettelbach further advanced this field with his 2025 study on "Accelerated optimization of gas diffusion electrodes for CO2 electrolyzers" (2 citations), demonstrating how autonomous platforms can rapidly optimize components for converting carbon dioxide into valuable fuels and chemicals. His contributions bridge artificial intelligence and materials science, enabling faster iteration and discovery of thin-film materials critical for solar cells, batteries, and electrolyzers. By integrating robotics, machine learning, and high-throughput experimentation, Dettelbach is reshaping how researchers approach materials development—moving from slow, manual trial-and-error to intelligent, automated exploration. His work holds transformative potential for accelerating the transition to sustainable energy technologies.