Papers
4
Total Citations
38
H-Index
3
About
Longhan Zhang is a pioneering researcher in the field of intelligent gas sensing, specializing in the development of colorimetric sensor arrays and robotic experimental platforms. Their major contributions lie in addressing critical challenges in gas detection, particularly humidity interference and multi-component quantification. Zhang introduced an innovative concept of selecting humidity sensors from a pool to compensate for dynamic humidity conditions, significantly improving detection accuracy. They have also advanced the design-build-test-learn (DBTL) methodology, employing knowledge-aware algorithms and multi-target Bayesian optimizations to accelerate the synthesis of optimal sensing materials. With over 38 citations across their most-cited works, including a 2024 paper with 22 citations, Zhang's impact is evident in their high-throughput robotic systems that enable customizable and on-demand sensor optimization. Notable achievements include the development of a colorimetric CO2 sensing array with wide ranges and high sensitivity, as well as robot-assisted array design for precise multi-component gas quantification. Their work bridges robotics, materials science, and analytical chemistry, offering transformative solutions for environmental monitoring and industrial safety.
Research Focus
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