Christopher J. Bartel

Lawrence Berkeley National Laboratory, Berkeley College

Papers

Total Citations

933

H-Index

About

Christopher J. Bartel is a leading figure in the accelerated discovery of inorganic materials, pioneering the integration of artificial intelligence, robotics, and computational chemistry. His most transformative contribution is the development of the A-Lab, an autonomous laboratory for solid-state synthesis, which achieved over 785 citations since 2023. This groundbreaking platform combines historical data, machine learning, and active learning to plan, execute, and interpret robotic experiments—dramatically compressing the timeline for materials discovery. Bartel’s earlier foundational work, "Toward autonomous design and synthesis of novel inorganic materials" (2021, 148 citations), laid the conceptual and technical roadmap for self-driving laboratories, reviewing key advances in robotics and AI-driven experimentation. His research sits at the intersection of computational materials science, machine learning, and automation, with a focus on inorganic synthesis, stability prediction, and autonomous experimentation. By enabling high-throughput, intelligent exploration of chemical space, Bartel is reshaping how new functional materials—for energy, electronics, and beyond—are discovered and developed. His work stands as a landmark in the movement toward fully autonomous scientific discovery.