A newly identified crystal framework could help address a key challenge facing all-solid-state lithium ...

Magnesium (Mg) alloys offer a pathway to lighter, more efficient aerospace and defense structures because of their low density, high specific strength and excellent damping capacity. However, their ...

Japanese scientists may have found a surprisingly simple way to predict how some unusual ...

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 ...

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 ability to predict crystal structures is a key part of the design of new materials. New research shows that a mathematical algorithm can guarantee to predict the structure of any material just ...

Creating a perfect crystal sounds straightforward: Arrange identical building blocks into a repeating, orderly structure. At the microscopic scale, though, even subtle biases in how particles interact ...

Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...

Using artificial intelligence to create new things is all the rage right now. Whether you want text, computer code, or images, there are uncountable generative AI models that can oblige. Google ...

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 ...