The global artificial muscle market is expected to reach $5.36 billion by 2031, with a CAGR of 10.4% during the forecast period. This growth…
Browsing: Materials Science
This article discusses the potential impact of quantum technology on various industries and the global competition to advance in this field. It also highlights…
JARVIS-Leaderboard is an open-source platform that facilitates benchmarking and enhances reproducibility in materials science. It covers various categories such as Artificial Intelligence, Electronic Structure,…
The Lawrence Berkley National Lab (LBNL) has developed a new approach to materials science research by combining machine learning and natural language processing to…
“Computer Engineering Applications in Electronic, Biomedical, and Automotive Systems” is a book that covers a wide range of applications in electronics, medicine, and transportation,…
MatKG is a knowledge graph in materials science that offers a repository of entities and relationships extracted from scientific literature. It provides structured organization…
Scientists from the University of Rochester have developed deep learning models to better leverage the massive amounts of data produced by X-ray diffraction experiments.…
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…
Material Informatics is a field of science that combines the principles of materials science, informatics, and data science to develop advanced materials. It is…
Scientists at the U.S. Department of Energy’s Brookhaven National Laboratory are using the latest version of PennyLane, a quantum programming framework from Toronto-based Xanadu,…