飞秒
透射电子显微镜
原位
材料科学
激光器
相(物质)
传输(电信)
显微镜
电子显微镜
光电子学
光学
纳米技术
化学
物理
计算机科学
电信
有机化学
作者
Junqing Guo,Lifu Zhang,Meiling Zhang,Shaozheng Ji,Zhenyang Xiao,Cuntao Gao,Fang Liu,Zhenpeng Hu,Yangbo Zhou,Xuewen Fu
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-03-27
标识
DOI:10.1021/acsnano.5c00538
摘要
Phase transitions critically determine material properties for applications, making them central to material science. The two-dimensional (2D) van der Waals material In2Se3 has been extensively studied as a model system for multiphase switching due to its intricate phase transition behaviors and outstanding ferroelectric properties for device applications. However, the lack of an efficient method for precise phase control and the poorly defined conditions for multiphase transitions have severely hindered its practical use. Here, we report that the femtosecond (fs) laser can serve as a potent tool for fast and precisely manipulating multiphase transitions in In2Se3 thin flakes. Using a transmission electron microscope capable of in situ fs laser irradiation, we realize controllable fast phase switching between four phases of 2D In2Se3 by controlling the laser fluence, including the transition from the ferroelectric α phase to the antiferroelectric β′ or paraelectric β phase, reversible switching between antiferroelectric β′ and paraelectric β phases at room temperature, as well as reversible transformation between the ferroelectric α′ phase and antiferroelectric β′ or paraelectric β phase at liquid nitrogen temperature. Notably, these multiphase transitions are accompanied by rapid formation and annihilation of domain structures and superlattices, resulting in fast changes in electric conductivity. Our first-principles calculations verify the multiphase transition pathways and reveal that the conductivity change stems from electronic band structure variation among the different phases. This work systematically investigates the phase transition behaviors in In2Se3 through spatially and temporally resolved characterization methods, providing foundational insights into memory device optimization.
科研通智能强力驱动
Strongly Powered by AbleSci AI