Technology Networks

Machine Learning Tool Helps Speed the Discovery of MOF Materials

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...
Phys.org

New machine learning tool reveals atomic structure of ultra-thin film materials

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Nanowerk

Strong as steel, light as foam: Machine learning and nano-3D printing create breakthrough nano-architected materials

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...
Technology Networks

AI-Powered Intelligence Could Transform Materials Design

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...