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Computation CHANGE TOPIC

Computation and theory

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Using machine learning, researchers have been able to complete cumbersome materials science calculations more than 40,000 times faster than normal.

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Creating a uniform membrane density is crucial for maximizing the performance of polymer membranes for water desalination.

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An inexpensive catalyst made from tiny clusters of nickel metal anchored to a 2D substrate is highly effective at extracting hydrogen from alcohols.

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A novel machine-learning model can accurately predict the hardness of new materials based solely on their chemical composition.

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

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

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

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

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