Machine Learning Driven Synthesis of Few-Layered WTe<sub>2</sub> with Geometrical Control
Machine Learning Driven Synthesis of Few-Layered WTe<sub>2</sub> with Geometrical Control
Reducing the lateral scale of two-dimensional (2D) materials to one-dimensional (1D) has attracted substantial research interest not only to achieve competitive electronic applications but also for the exploration of fundamental physical properties. Controllable synthesis of high-quality 1D nanoribbons (NRs) is thus highly desirable and essential for further study. Here, we …