Computation CHANGE TOPIC

Computation and theory news, June 2019

Strontium titanate has a ‘hidden’ phase that gives the material new ferroelectric properties when it is activated by extremely fast pulses of light.

A new method for discovering materials using data analytics and electron microscopy has found a novel class of extremely hard alloys.

The strain created by growing 2D crystals over 3D objects can be used to tailor the crystals' optoelectronic properties.

A previously undiscovered interaction between two thin magnetic layers separated by a non-magnetic layer could lead to better data storage.

By understanding the precise sequence of charged monomers, researchers can predict the behavior of disordered strands of proteins and polymers.

By incorporating liquid metal droplets into an elastomer, researchers have created a highly stretchable, soft, multi-functional composite.

The electronic properties of the 2D semiconductor tungsten disulfide can be dramatically changed by doping it with carbon-hydrogen molecules.

Engineers have developed a high-throughput computational method to design new hybrid organic-inorganic materials for solar cells and LEDs.

Scientists have discovered that the elasticity of gels arises from the packing of clusters of particles, dubbed locally glassy clusters, in the gels.

Nanocubes coated with single-stranded DNA chains assemble into an unusual ‘zigzag’ arrangement that has never been observed before.

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A 3D model created by AI helped researchers to understand the formation of dislocations in complex polycrystalline materials.

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A novel platinum-gold alloy, 100 times more durable than high-strength steel, is believed to be the most wear-resistant metal in the world.

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Researchers have discovered that a gold nanocluster can exist in two different atomic arrangements, or polymorphs.