3don 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 ...
Porous materials are attractive for separation and catalysis—these applications rely on selective interactions between host materials and guests. In metal–organic frameworks (MOFs), these interactions ...
Azides are chemical compounds widely used in synthetic organic chemistry, pharmaceutical sciences, and materials chemistry. However, conventional synthesis methods for azide compounds have severe ...
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