Computation CHANGE TOPIC

Computation and theory news

A new way to guide the self-assembly of a wide range of nanoscale structures, including parapets and aqueducts, uses simple polymers as starting materials.

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 predicted the existence of tiny picophotonic waves that can propagate in semiconductors like silicon.

Using AI to design new complex metamaterials with useful properties

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 come up with a novel strategy for growing carbon nanotubes with a single desired chirality.

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

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.

Researchers have shown that introducing intentional flaws to a metallic alloy can be used to make it stronger without affecting its flexibility.

For the first time, researchers formed a rare-earth complex on a gold surface and then rotated it with a scanning tunneling microscope.

Mechanical engineers have developed an artificial-intelligent material system that can learn behaviors over time and develop a ‘muscle memory’.

Using a novel microscopy technique, researchers have tracked the movement of lithium ions inside a promising new battery material in real time.

Researchers have developed a novel machine-learning model that can predict the heat capacity of metal-organic frameworks

A new class of carbide materials is capable of producing tunable plasmonic properties while withstanding incredibly high temperatures.

Researchers have developed a solid-state ‘twisted’ crystalline layered material that can give rise to tiny light-emitting points called color centers.

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