For a long time, finding new materials felt a bit like being a lone artisan. You’d spend ages tinkering, trying things out ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
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Light-induced symmetry changes in tiny crystals allow researchers to create materials with tailored properties
Imagine building a Lego tower with perfectly aligned blocks. Each block represents an atom in a tiny crystal, known as a quantum dot. Just like bumping the tower can shift the blocks and change its ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
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