Tailor-made 2D materials became closer with the new machine learning algorithm developed at NUS
A team at NUS Institute for Functional Intelligent Materials, together with international collaborators, developed a machine learning approach for fast and data-efficient prediction of properties of defects in 2D materials . 2D materials offer exciting opportunities as building blocks for new electronic devices, such as bendable screens, efficient solar panels, and high-resolution cameras. Imperfections and …
