Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
The collaboration builds on the internal strengths of Bayer in antibody design, synthesis and machine learning, complementing ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
Learn how Apple's on-device AI hardware and future MacBook chips will introduce powerful MacBook AI features, boosting ...
Kristen Smigielski, Ph.D., was born and raised in Buffalo, New York, in a family of educators. Her grandfather, grandmother, ...
Morning Overview on MSN
AI creates a new alloy that’s 5x stronger than traditional aluminum
Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...
Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...
Hydrogen storage is limited by high pressure or cold tanks. Metal hydrides offer efficiency. A large curated database reveals key atomic traits to guide design. (Nanowerk News) Hydrogen fuels ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback