AI method reconstructs missing hydrogen atom positions in crystal databases, enabling faster, more accurate materials ...
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 ...
UB chemist Jason Benedict and his team spent years developing photoswitchable crystals. Every crystal’s shape is a mirror of the internal arrangement of their molecules, but the molecules in ...
The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...
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 ...
SPaDe-CSP first predicts most probable space groups and crystal densities using machine learning and then employs an efficient neural network potential for structure refinement. Prediction of crystal ...
Waves of light and sound interact to drive electronic and structural changes in a perovskite crystal. At the atomic scale, ...
Metalworkers and metallurgists have long appreciated the ability to tailor the performance characteristics of steel (an alloy of iron and carbon), including their strength, hardness, ductility and ...
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