Crystal polymorphism is critically important in the fields of pharmaceuticals and materials science. For instance, a metastable polymorph of an active pharmaceutical ingredient may benefit from ...
A superconducting material being considered for future fusion magnets turned amorphous under intense electron ...
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 ...
Researchers at New York University 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 ...
A new artificial intelligence model can predict how atoms arrange themselves in crystal structures. A new artificial intelligence model that can predict how atoms arrange themselves in crystal ...
For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as metals, rocks, and ceramics. This technique works best when the ...
Researchers at TU Graz have found a way to significantly increase the ionic conductivity of lithium titanate, potentially opening up new possibilities for the ...
A newly described spacetime crystal could collapse into a microscopic black hole when exposed to a very small energy change, ...
Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...