Ultra-thin two-dimensional (2D) materials are only one atom thick. They can act as powerful filters at the tiniest scales, even approaching sub-atomic dimensions. In this work, scientists used machine learning to develop a scalable method to grow high-quality (almost defect-free), atom-thin layers of boron and nitrogen.
