Stein

Papers

Total Citations

H-Index

About

Dr. Stein is a leading figure in the emerging field of automated battery research, with a primary focus on robotic cell assembly and high-throughput experimentation. Their most impactful contribution is the creation of a comprehensive cycling dataset for 64 lithium-ion cells manufactured by the AutoBASS robotic platform. This dataset, which has garnered 5 citations, is the foundational data for a landmark 2022 paper in *Digital Discovery* titled "Robotic cell assembly to accelerate battery research." By providing the complete cycling data beyond the initial test cycles, Dr. Stein has enabled other researchers to validate, reproduce, and build upon their work, directly addressing the reproducibility crisis in battery science. This open-access dataset represents a significant step toward accelerating the development of next-generation batteries through automation and data sharing. Dr. Stein’s work is pivotal for students and researchers seeking to leverage robotics and data-driven methods to streamline battery research and development.