Deep learning, a multifaceted and groundbreaking subset of Artificial Intelligence (AI), is reshaping various sectors, notably materials science. Its algorithms are now leveraged to predict and ...

Researchers look to deep learning techniques in order to streamline the time-consuming process of identifying 2D materials. Researchers have developed a deep learning-based approach that significantly ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

(Nanowerk News) Kory Burns, an assistant professor at the University of Virginia School of Engineering and Applied Science, is a leader in materials science who is using artificial intelligence to ...

A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...

(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...

Dendritic structures that emerge during the growth of thin films are a major obstacle in large-area fabrication, a key step towards commercialization. However, current methods of studying dendrites ...

This is where things get really exciting. Nanomaterials are like tiny delivery trucks and super-powered microscopes for ...