Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

no code implementations • 23 Nov 2021 • Adarsh Dave, Jared Mitchell, Sven Burke, Hongyi Lin, Jay Whitacre, Venkatasubramanian Viswanathan

In this work, we introduce a novel workflow that couples robotics to machine-learning for efficient optimization of a non-aqueous battery electrolyte.

Bayesian Optimization BIG-bench Machine Learning

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning

no code implementations • 22 Oct 2019 • Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy, Sven Burke, Biswajit Paria, Barnabas Poczos, Jay Whitacre, Venkatasubramanian Viswanathan

Innovations in batteries take years to formulate and commercialize, requiring extensive experimentation during the design and optimization phases.

BIG-bench Machine Learning