Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. While some database administrators are mum about ...

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.

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 ...

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 ...

More than 90 years ago, Linus Pauling published a set of five empirical principles explaining why ionic compounds form the crystal structures that they do. Those principles, now known as Pauling’s ...

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 ...

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 ...

An artificial intelligence created by Google DeepMind may help revolutionise materials science, providing new ways to make better batteries, solar panels, computer chips and many more vital ...

“Reactive Noble-Gas Compounds Explored by 3D Electron Diffraction: XeF 2 −MnF 4 Adducts and a Facile Sample Handling Procedure” Since Bartlett’s discovery, which is commemorated with an International ...

Researchers discovered two new crystals made from water and table salt at low temperatures, below about minus 50 C. The known structure (left) has one salt molecule (yellow and green balls) to two ...