Materials chemistry is a rapidly evolving area of research, with thousands of various semiconductors, and more materials being added all the time. What material among this variety would be the best ...

A massive new database of dielectric material properties could speed up the development of electronics like smartphones and energy storage systems. AI-driven materials discovery has great potential to ...

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch. New technology often ...

Nanoengineers have developed an AI algorithm that predicts the structure and dynamic properties of any material -- whether existing or new -- almost instantaneously. Known as M3GNet, the algorithm was ...

The National Institute for Materials Science (NIMS) has been developing the DICE materials data platform* 1 to fulfill its role as a data core center in the MEXT-led project to develop materials DX ...

Acelab and mindful MATERIALS are proud to announce a strategic partnership that integrates Acelab’s innovative Materials Hub platform with mindful MATERIALS’s industry-leading Common Materials ...

Although it boasts data sheets for more than 40,000 plastics, the creators of the latest Prospector Pro materials procurement and information tool say the software has much more to offer than just ...

Researchers at Google DeepMind and Lawrence Berkeley National Laboratory today announced in a stunning scientific breakthrough that they have developed a new AI system called GNoME that has discovered ...