Papers
2
Total Citations
248
H-Index
2
About
Xunjia Li is a pioneering researcher at the intersection of advanced materials and intelligent manufacturing systems. His work spans two transformative domains: next-generation energy harvesting through triboelectric nanogenerators (TENGs) and optimization of smart factory logistics. Li’s most impactful contribution is his 2019 study on a multifunctional, highly flexible TENG based on MXene-enabled porous film integrated with laser-induced graphene electrodes. This work, which has garnered 241 citations, introduced a groundbreaking approach to creating durable, high-performance energy harvesters for wearable electronics and self-powered sensors, demonstrating how MXene’s exceptional conductivity and flexibility can be harnessed for practical energy solutions. In parallel, Li addresses critical challenges in Industry 4.0, notably through his work on multi-mobile robot and multi-trip feeding scheduling in smart manufacturing systems. By developing an improved hybrid genetic algorithm, he provides a robust solution to the complex logistics of timely material supply—a fundamental bottleneck in modern production. This dual focus on both the physical materials enabling future devices and the algorithmic intelligence driving factory automation marks Li as a versatile innovator, whose research bridges fundamental materials science with real-world industrial efficiency.
Research Focus
Key Achievements
Top Papers
- 1
- 2