When synthesizing a material in a particular composition, one wants to confirm whether the intended crystal structure is successfully synthesized as a crystalline phase. An XRD (X-ray diffraction) ...
The prediction of stable or metastable crystal structures from a given chemical composition has remained a fundamentally unsolved task in solid-state physics for several decades 1,2. In principle, the ...
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 ...
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 ...
An international team of scientists, including researchers from Loughborough University, has developed a method to dramatically speed up the discovery and design of advanced materials. The study, ...
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 ...
AI method reconstructs missing hydrogen atom positions in crystal databases, enabling faster, more accurate materials ...
Google DeepMind researchers have discovered 2.2 million crystal structures that open potential progress in fields from renewable energy to advanced computation, and show the power of artificial ...
Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...
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 ...
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 ...
“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 ...