Yuxiang Tan

Papers

Total Citations

236

H-Index

About

Yuxiang Tan is a leading researcher in the field of intelligent soft materials, with a primary focus on self-healable elastomers, MXene nanocomposites, and flexible electronic sensors. His most cited work, a 2020 study on protein-inspired self-healable Ti₃C₂ MXenes/rubber-based supramolecular elastomers, has garnered 236 citations and represents a significant breakthrough in the integration of electronic sensors with signal processing systems. Tan's major contribution lies in designing mechanically robust, highly sensitive, and self-healable sensing materials that generate discernible electrical variations in response to external stimuli—a critical advancement for artificial intelligence and smart robotics. By mimicking protein structures, his approach overcomes the traditional trade-off between mechanical durability and self-healing capability in soft electronics. This work has established a new paradigm for developing intelligent sensing platforms that can autonomously repair damage while maintaining high sensitivity. Tan's research continues to push the boundaries of supramolecular chemistry and materials engineering, offering transformative solutions for next-generation wearable electronics, human-machine interfaces, and autonomous robotic systems.