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.

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 ...

(Nanowerk News) Although crystal structure determination by means of X-ray diffraction has had a huge scientific impact over the last 100 years, it still requires the solution of the crystallographic ...

When scientists study how materials behave under extreme conditions, they typically examine what happens under compression. But what occurs when you pull matter apart in all directions simultaneously?

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 ...

“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 ...

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 ...

Scientists used to think it wasn’t possible to crystallize and therefore learn the structure of amyloid fibrils, the protein complexes such as amyloid-β and α-synuclein that are involved in ...