Computation CHANGE TOPIC

Computation and theory news, March 2021

Machine learning proves itself for CNT composites

machine learning algorithm trained to predict pullout forces of carbon nanotubes from polymer matrix

Researchers have discovered that the electronic properties of halide perovskites hinge on the way their atomic lattice twists and turns.

Using optical spectroscopy, researchers have shown that the insulating behavior of 'bad metals' can be explained with conventional theories.

New phenomenon discovered for half-auxetic materials

By using 'scientific machine learning', researchers have gained a better understanding of how lithium ions more in and out of battery electrodes.

Using advanced electron microscopes, researchers have imaged the boundary between 2D and 3D materials, and correlated it with their properties.

Using a weakly binding electrolyte, researchers developed a lithium-metal battery that can be repeatedly recharged at temperatures as low as -60°C.

Researchers have discovered a halide ion conductor that could dramatically improve the efficiency and lifespan of solid-state sodium-ion batteries.

By fabricating raised squares on the surface of an antiferromagnetic crystal, researchers have developed a novel data storage medium.

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Using algae as a building material.

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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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By depositing bismuth onto a silicon carbide substrate, scientists have created a topological insulator that can work at room temperatures.

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