Characterization CHANGE TOPIC

Characterization news, December 2020

Researchers have discovered that 'weak' Van der Waals interactions are still sufficient to form bumps in rigid silver nanosheets.

Scientists have discovered why an anomalous metallic state appears at the superconductor-insulator transition in 2D superconductors.

Researchers have developed a novel porous, carbon-based anode material that can increase the energy density of sodium-ion batteries.

Researchers have discovered that the electrons in magic-angle twisted bilayer graphene can create 'topological quantum states'.

Researchers have found a new way to predict the properties of metal alloys based on reactions at the boundaries between their crystalline grains.

When the thermoelectric semiconductor tin monoselenide is doped with antimony, it switches between p-type and n-type as doping increases.

Researchers have discovered that a process known as crystal gliding is responsible for damage to single-crystal, nickel-rich cathodes in batteries.

A new tool that uses light to map out the electronic structures of 2D crystals could reveal the capabilities of emerging quantum materials.

Researchers have found that their new graphene-based heat pipe is better at cooling electronics and power systems than a copper-based heat pipe.

A titanium atom that wants to be in two places at once is responsible for the poor thermal conductivity of the crystalline solid barium titanium sulfide.

Researchers developed a method to create 3D models of the fibers within composite materials, which they used to predict thermal conductivity.

Researchers have shown that flexible, ultrathin antennas made by spraying the 2D material MXene perform almost as well as copper antennas.

Researchers have discovered that metal-organic frameworks need to be flexible in order to separate gases efficiently.

Researchers have developed a platform that combines a novel electrospray deposition tool with X-ray analysis for studying blended materials.

Researchers have directly visualized quantum dots in bilayer graphene, revealing the shape of the quantum wave function of the trapped electrons.

A novel AI algorithm called CAMEO was able to discover a potentially useful new material without requiring additional training from scientists.

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