Kaili Liu

Chinese Academy of Sciences, Australian National University

Papers

Total Citations

134

H-Index

About

Kaili Liu is at the forefront of materials chemistry, driving innovation at the intersection of flexible electronics and sustainable energy. Her research focuses on the development of advanced 2D material inks for smart, flexible devices—a contribution that has garnered over 100 citations for its transformative potential in next-generation wearables and sensors. Liu is also pioneering the integration of data-intensive machine learning with robotic experimentation, a groundbreaking approach that accelerates the discovery of catalysts for renewable energy reactions. Her 2021 work on this topic, with 28 citations, outlines a paradigm shift from traditional trial-and-error methods to high-throughput, AI-guided synthesis, significantly reducing experimental cycles. By merging computational prediction with automated validation, Liu is redefining how new catalysts are identified for critical processes like water splitting and CO₂ reduction. Her notable achievements include bridging the gap between fundamental materials science and practical application, positioning her as a key figure in the push toward smarter, greener technologies. For students and researchers, Liu’s work exemplifies how interdisciplinary methods can fast-track solutions to pressing energy and environmental challenges.