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Characterization news, November 2022

Self-assembled pinwheel structure displays surprising chirality

Researchers have developed a novel method for getting pyramid-shaped nanoparticles to self-assembe into pinwheel lattices with chiral properties.

Researchers have turned Raman spectroscopy into a scientific ‘ruler’ to understand how 2D materials expand on exposure to heat.

Researchers have shown that nickel oxide can display responses to brief electrical pulses that are similar to learning.

Researchers have deduced that the thermal Hall effect in a magnetic insulator is caused by bosons in the presence of a novel force-field.

Researchers have uncovered the dance that goes on between cerium, sulfates and water in a cerium-based flow cell battery.

Researchers have developed a scanning probe microscope that uilizes terahertz waves and used it to study a perovskite material for solar cells.

A new heat treatment can transform the microscopic structure of 3D-printed metals, making them less prone to the deformation process known as creep.

Researchers have discovered how the electronic properties of the photoelectrode bismuth vanadate change when it gets wet.

Using a new electron microscopy technique and data mining, researchers have mapped out altered domains in rechargeable ion batteries at the nanoscale.

Researchers have discovered a material that can act as a magnetic topological insulator, able to conduct electrons along a ‘quantum highway’.

A novel machine-learning method can analyze the speckle patterns produced when studying materials by X-ray scattering, even when highly 'blobby'.

Researchers used various optical techniques to investigate the unusual superconductivity of a recently discovered family of kagome metals.

By studying how sheets of graphene slide over a graphite surface, researchers have come up with a new law of friction.

Researchers have shown that the metal-organic framework aluminum formate offers a cheap and effective material for capturing carbon dioxide.

Researchers have developed a method for getting quantum dots to self-assemble into a highly conductive optoelectronic metamaterial.

Researchers have shown that X-ray absorption spectroscopy and machine learning can be used to identify materials with topological properties.

By shifting the oxidation-reduction potential of a lithium-metal electrode, researchers have enhanced the energy density of lithium-metal batteries.

metamaterial based on liquid-crystal elastomers can change its mechanical properties in response to light

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