How can artificial intelligence (AI) machine learning models be used to identify new materials? This is what a recent study published in Nature hopes to ad | Technology ...

Engineers and scientists, as well as artists, have long been inspired by the beauty and functionality of nature’s designs.

Lithium-ion batteries power most electronics, but they have limited energy density—they can store only a certain amount of ...

For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

Open Materials 2024 will be one of the biggest data sets available for materials science. Meta is releasing a massive data set and models, called Open Materials 2024, that could help scientists use AI ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

Google’s CircularNet empowers recycling facilities to significantly improve waste identification and sorting, unlocking ...