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Computation and theory news, December 2020

Researchers have discovered that the electrons in magic-angle twisted bilayer graphene can create 'topological quantum states'.

Researchers used computer simulations to model the effects of elemental composition on the glass-forming ability of metallic mixtures.

Researchers have found a new way to predict the properties of metal alloys based on reactions at the boundaries between their crystalline grains.

When the thermoelectric semiconductor tin monoselenide is doped with antimony, it switches between p-type and n-type as doping increases.

Researchers developed a method to create 3D models of the fibers within composite materials, which they used to predict thermal conductivity.

Researchers have discovered that metal-organic frameworks need to be flexible in order to separate gases efficiently.

A novel AI algorithm called CAMEO was able to discover a potentially useful new material without requiring additional training from scientists.

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