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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 ...
Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found that more than 40% of the crystal structures in the databases contained ...
A quick, purification-free method was developed by researchers at the Institute of Science Tokyo, to capture the detailed 3D ...
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 ...
Tech Xplore on MSN
New Mn-rich cathode could improve sustainability and stability of high-energy Li-ion batteries
Lithium-ion batteries (LiBs) remain the most widely used rechargeable batteries worldwide, powering most portable and ...
Stanford scientists have achieved a breakthrough in iron-based materials, demonstrating a new high-energy state ...
Live Science on MSN
Why don't teeth count as bones?
The major resemblance between teeth and bones is what they're made of: hard tissue composed of minerals, such as calcium, ...
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Iron-based battery material achieves higher energy state, promising improved storage and voltage
Researchers have created a more energy dense storage material for iron-based batteries. The breakthrough could also improve ...
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