Scientists are using deep learning methods to predict material properties and optimize synthesis conditions. In a recent study, researchers from Tokyo University of Science…
Browsing: Material Properties
This article introduces an innovative approach that utilizes machine learning (ML) to address the computational challenges of accurate atomistic simulations in materials science. Focusing…
Artificial Intelligence (AI) has been increasingly used in materials science and engineering to simplify and improve material discovery, research and synthesis. AI-based tools can…