Haegyeom Kim

Lawrence Berkeley National Laboratory, Berkeley College

Papers

Total Citations

933

H-Index

About

Haegyeom Kim is a trailblazer in autonomous materials discovery, pioneering the integration of artificial intelligence with robotic experimentation to accelerate the synthesis of inorganic materials. Her landmark 2023 paper introducing the A-Lab—an autonomous laboratory that combines computational predictions, machine learning, and active learning with robotics—has garnered 785 citations, marking a paradigm shift in materials research. This system can plan, execute, and interpret solid-state synthesis experiments over 17 days, dramatically reducing the time traditionally required for materials development. Her earlier 2021 review on autonomous design and synthesis of novel inorganic materials (148 citations) established the conceptual framework for self-driving laboratories, outlining how AI-driven robotics can revolutionize the field. Kim's work addresses a critical bottleneck in materials science: the slow, labor-intensive process of discovering and synthesizing new compounds. By creating systems that can autonomously navigate the vast chemical space of inorganic materials, she has opened new pathways for developing next-generation technologies in energy, electronics, and beyond. Her contributions position her at the forefront of the emerging field of autonomous materials discovery.