Some materials behave unexpectedly. They crack differently than expected, or react in ways that are hard to explain. The ...

Researchers used topological data analysis to improve the predictions of physical properties of amorphous materials by machine-learning algorithms. This may allow for cheaper and faster calculations ...

For a long time, it was thought that amorphous solids do not selectively absorb light because of their disordered atomic structure. A new study disproves this theory and shows that amorphous solids ...

Single-element amorphous metals, or metallic glass, are considered an ideal model systems for studying atomic-scale amorphous and glass formation. Moreover, their unique physical and chemical ...

(Nanowerk Spotlight) Scientists have recently discovered a new class of amorphous nanomaterials that are created by introducing atomic irregular arrangements. These materials demonstrate excellent ...

A new review highlights how disordered nanomaterials outperform crystals in solar-powered hydrogen production, CO? reduction, and pollutant degradation. (Nanowerk News) Photocatalysis—using sunlight ...

Why do avalanches start to slide? And what happens inside the "pile of snow?" If you ask yourself these questions, you are very close to a physical problem. This phenomenon not only occurs on mountain ...

Researchers show how topological data analysis can be used to predict the properties of amorphous materials using machine learning, which could pave the way for more computationally efficient methods ...