The electrical, mechanical, and optical properties of 2D materials depend on their layered structure. Study: Deep-Learning-Based Microscopic ... the commonly used analytical techniques to measure the ...

The findings are published in Applied Materials Today ("Deep learning ... identification of 2D materials"). "Sometimes, we only have a few samples of the 2D material we want to study, or limited ...

Engineers use 'deep learning' techniques to speed up simulations of novel two-dimensional materials to understand their characteristics and how they're affected by high temperature and radiation.

Supervised deep 2D image feature representation is a fundamental problem in computer vision that applies deep learning techniques to extract and process information from a given 2D image under ...

That is where researchers turned to image-based transfer learning ... trains a very deep neural network to extract the deep-represented features, researches pointed out. The 2D images were then ...