2don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Crystals -- from sugar and table salt to snowflakes and diamonds -- don't always grow in a straightforward way. Researchers have now captured this journey from amorphous blob to orderly structures. In ...
The Discovery of a New Type of Time Crystal is Challenging Past Thinking on These Unusual Structures
Researchers have discovered that quantum interactions between particles can be used to create time crystals with their own ...
Time crystals exhibit perpetual motion-like behavior when separated from external energy input, but scientists found a way to ...
Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found ...
Glycogen is a branched glucose polymer and serves as an important energy store. Its debranching is a critical step in its mobilization. In animals and fungi, the 170 kDa glycogen debranching enzyme ...
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