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Computation CHANGE TOPIC

Computation and theory news, October 2020

By analyzing thin films of manganese-doped iron oxide, researchers have been able to update the model used to describe conduction in ceramics.

Researchers have grown twisting spirals by depositing sheets of 2D material on a substrate that was curved slightly by slipping a nanoparticle underneath.

Inspired by snake vision, researchers have developed a mathematical model that reveals how to convert soft structures into pyroelectric materials.

Researchers have trained a neural network to understand which polymer properties arise from different molecular sequences.

Researchers have discovered that antimony impurities enhance the efficiency of thermoelectric materials by introducing crystal distortions.

Twisted stacks of bilayer graphene can exhibit highly correlated electron properties, which likely relates to the emergence of exotic magnetic states.

Applying strain to tiny needles of diamond can transform their electronic properties from insulating, through semiconducting, to highly conductive.

Using experiments and simulations, researchers have identified the configurations of dislocations that give rise to desirable properties in a model alloy.

A novel machine-learning algorithm has rapidly rediscovered rules governing catalysts that took humans years of difficult calculations to reveal.

A new computer model can simulate the networks of force-carrying particles that give amorphous materials such as glass their strength.

3D printing of composite parts makes counterfeiting easier

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Dec ’20