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Computation CHANGE TOPIC

Computation and theory news, April 2020

Elastomers that replicate complex twisting action just through the use of light

Using rapid, powerful bursts of light, scientists have uncovered evidence of Rashba effects in bulk organometallic halide perovskites.

Researchers have discovered that polymers filled with carbon nanotubes could improve how unmanned military vehicles dissipate energy.

Researchers have designed a novel liquid crystal elastomer that can be ‘programmed’ to both twist and bend in the presence of light.

Researchers can monitor batteries by sending electrical pulses into them and then processing the response with a new machine-learning algorithm.

Researchers have developed a novel machine-learning algorithm for quantitatively characterizing material microstructure in three dimensions.

A new study shows that samarium sulfide expands at low temperatures due to electrons moving into the outermost shell of the samarium atoms.

A novel neural network was able to reduce the time needed to discover promising materials for a flow battery from 50 years to five weeks.

Researchers have found that crumpling graphene makes it more than 10,000 times more sensitive to DNA by creating electrical ‘hotspots’.

Composite metal foams have passed so-called ‘simulated pool fire testing’, which indicates they could be used for transporting hazardous materials.

Utilizing 'hybrid data', a new analytical technique can improve the estimation of mechanical properties of metallic materials from indention tests.

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