The advent of 21st century marks a pivotal moment for high-pressure research: advancements diamond anvil cells design and in-situ characterization techniques 1,2,3,4 gave access to the realm of ...
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 ...
To simulate the properties of materials, researchers use crystal structures of materials stored in databases. Often, however, ...
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 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 ...
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 ...
Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...
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