Max-Planck and Fraunhofer ILT create the hard-yet-tough "sword steel" crystal structure; suited to various applications in industry. Damascene conversion: composite material with metal layers of ...
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Crystallography-informed AI achieves high performance in predicting novel crystal structures
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 ...
A setback in growing light-responsive crystals led UB chemist Jason Benedict and his team to a novel method for mapping molecular arrangements.
Developing and manufacturing effective, safe, reliable new drugs or critical new materials for use in semiconductors or applications involving dangerous materials requires many layers of knowledge.
Faster delivery of buildings isn’t always associated with sustainability benefits or long-term value, but things are changing. An instructive case is in the development of steel structures that not ...
Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a ...
The Cambridge Crystallographic Data Centre (CCDC) has recently closed the 7th Crystal Structure Prediction (CSP) Blind Test. CSP is the ability to predict, from its 2D molecular structure, the 3D ...
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