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Nanomaterials news, August 2020

Fiber electrode shows promise for wearable electronic devices

Supercapacitor made from the fiber electrodes

Nanowire mask offers big advantages for PPE

Titanium oxide nanowire mask with antibacterial and antiviral properties

By utilizing a mixture of alcohol, researchers have developed functional inks based on 2D materials that don't suffer from the coffee ring effect.

Researchers have found that cooling graphene while it is attached to a flat surface will cause it to buckle, altering its electronic properties.

Nanostructure surface displays improved anti-icing performance

Engineered camelid nanobodies sheath coronavirus spikes

Novel composites of nanocellulose and metal nanoparticles could prove of use for various optical, catalytic, electrical and biomedical applications.

Researchers have developed a method for predicting the interaction between layers of 2D materials such as graphene in a stack.

Reducing dyes without the noble metals

Antibodies attached to the surface of red blood cells could boost the body’s ability to fight disease

Adding a small amount of manganese to 2D molybdenum disulfide improves its sensitivity as a dopamine detector by many orders of magnitude.

Nanotech for improved wound healing

Cobalt-iron catalyst for zinc-air battery application

new 'micro' approach to electronic waste recycling could create valuable renewable resources

A novel nano-structuring method allows certain layers of a material to be perforated extremely precisely while leaving other layers completely untouched.

Scientists have developed a novel method for synthesizing manganese dioxide with a specific crystalline structure that makes it an effective catalyst.

We are excited to announce that Elsevier in collaboration with SPIE, titled Photonic Materials and Applications.

Adding layers of the 2D material molybdenum sulfide to molybdenum carbide allows superconductivity to occur at 50% higher temperatures.

Inspired by work on snowflakes, researchers are mapping the shapes of the 2D crystals produced by chemical vapor deposition under specific conditions.

systematic approach to growing 2D crystals using CVD based on large-scale databases and machine learning

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