Every crystal's shape is a mirror of the internal arrangement of its molecules, but the molecules in photoswitchable crystals can expand, twist and change properties—from their color to their ...
The prediction of stable or metastable crystal structures from a given chemical composition has remained a fundamentally unsolved task in solid-state physics for several decades 1,2. In principle, the ...
Organic molecular crystals offer a broad spectrum of potential applications. The vast number of possible molecules is both an opportunity and a challenge, because of the prohibitive expense of ...
A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...
An artificial intelligence created by Google DeepMind may help revolutionise materials science, providing new ways to make better batteries, solar panels, computer chips and many more vital ...
Using artificial intelligence to create new things is all the rage right now. Whether you want text, computer code, or images, there are uncountable generative AI models that can oblige. Google ...
A quick, purification-free method was developed by researchers at the Institute of Science Tokyo, to capture the detailed 3D structures of flexible sugar molecules. By growing crystals of galectin-10 ...
Crystallography is the science of analyzing the pattern produced by shining an X-ray beam through a material sample. A powder sample produces a different pattern than solid crystal. One longstanding ...
Google DeepMind researchers have discovered 2.2 million crystal structures that open potential progress in fields from renewable energy to advanced computation, and show the power of artificial ...
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