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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