Page 5 - Materials Project News Today

Researchers have found a way to streamline predicting magnetic structures and assigning magnetic classification by employing tools of machine learning, like equivariant Euclidean neural networks.

A group of researchers recently published a paper in the journal Communications Chemistry that reviewed the role of artificial intelligence (AI) in discovering materials for ion-selective membranes (ISMs).

???????Solar panels, also known as photovoltaics, rely on semiconductor devices, or solar cells, to convert energy from the sun into electricity.

Berkeley Lab scientists developed a lead-free solar material that could benefit thin-film perovskites and simplify solar cell manufacturing.

A team of researchers from DeepMind reported in Science last week that applying deep learning to DFT (density function theory) computation produced more

TSUKUBA, Japan, Nov. 22, 2021 /PRNewswire/ -- The NIMS Quantum Materials Project is WPI-MANAs newly formed group for research into creating and exploiting ...

Sandals, pencils and start-up money: Orkney pupils team up with schools abroad to fight poverty Updated: May 20, 2021, 6:25 pm © Ken Amer S2 Pupils at Kirkwall Grammar School recently launched community campaigns to collect supplies and funds for partner schools overseas. Sign up for our daily newsletter featuring the top stories from The Press and Journal. Thank you for signing up to The Press and Journal newsletter. Something went wrong - please try again later. Sign Up There might be...

4 Aberdeen Proving Ground, MD -- Artificial intelligence and machine learning (AI/ML) is a next-generation computer capability that holds the potential for changing everything from how people live and work to how wars are fought and won. The Combat Capabilities Development Command Chemical Biological Center (DEVCOM CBC) is keeping pace with this computing revolution through its Grand Challenge Program, beginning with three pilot projects and a workshop to recruit more. “We are...