Quantitatively connecting the thermodynamics and dynamics of a model glass provides insight into the fragile-to-strong crossover.

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a paper published in the journal Nature Physics, DeepMind researchers ...

A glass is a curious material in between liquid and solid states of matter, but eventually glass always yields to its solid proclivity by settling into the ordered patterns of a crystal. Or so it was ...