About

Xinchang Pang is an innovative materials scientist specializing in smart polymers, 4D printing, and flexible sensing technologies. His research has made significant strides in advancing shape memory materials, particularly thermoplastic polyamide elastomers based on PA1212, which exhibit exceptional mechanical properties, thermal stability, and flexibility. Pang's pioneering work in 4D printing via selective laser sintering (SLS) has enabled the fabrication of elastomers with both one-way and reversible two-way shape memory effects, opening new frontiers for programmable, stimuli-responsive structures. His development of electro-induced shape memory composites incorporating carbon nanotubes further expands the functional versatility of these smart materials. Beyond shape memory systems, Pang has contributed meaningfully to the field of flexible sensing, designing recyclable bimodal hydrogel sensors capable of independently detecting both strain and temperature with high sensitivity — addressing a critical challenge in multimodal sensing sustainability. His work on self-healing poly(urethane-urea-amide) elastomers incorporating dynamic bonds demonstrates a sophisticated approach to improving the longevity and printability of advanced materials. With over 220 cumulative citations across recent publications, Pang's research is rapidly gaining recognition, reflecting his growing influence on next-generation functional materials for robotics, wearable electronics, and biomedical applications.

Research Focus

Key Achievements

7
H-Index
8
Papers
223
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
4D printing of polyamide 1212 based shape memory thermoplastic polyamide elastomers by selective laser sintering
52 citations · 2023
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Zhengzhou University, Henan University of Science and Technology, Zhengzhou University of Light Industry, Georgia Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago