As artificial intelligence workloads and large language models continue to surge, the semiconductor industry is approaching the physical limits of traditional silicon scaling. Long guided by Moore’s Law, chip development is now constrained by atomic-scale barriers, heat dissipation challenges, and fabrication complexity. In response, researchers are accelerating the search for next-generation materials, with two-dimensional semiconductors emerging as a leading candidate to extend computing performance while improving energy efficiency.
A key obstacle in 2D semiconductor development has been the difficulty of achieving stable and high-performance p-type materials, which are essential for modern transistor architectures. While n-type materials such as molybdenum disulfide have advanced significantly, the lack of complementary p-type counterparts has limited practical applications. Addressing this gap, a research team led by Zhu Mengjian, alongside Ren Wencai and Xu Chuan from the Institute of Metal Research, has developed a new method to enable better control over doping in 2D materials, paving the way for more balanced and efficient semiconductor systems.
