Computation and theory news, July 2021

Machine-learning model bonds with new materials

Researchers have developed a machine-learning model for predicting the bonding properties of materials from features of their component atoms.

Recipients of the 2020 Acta Students Awards

Precipitates help increase toughness of a structural alloy

Control over the toughness and ductility of alloys

Quantum computer shows magnetic route to new materials

Scientists used a quantum computer to isolate quasiparticles known as magnetic monopoles, which could lead to novel magnetic materials.

Call for Nominations: EnSM Award and EnSM Young Scientist Award

Electrons appear to dance to tune of first topological superconductor

Using various forms of evidence, researchers have shown that uranium ditelluride displays many of the hallmarks of a topological superconductor.

Heavy fermions with graphene useful for quantum technology

Producing heavy fermions with cheap and non-radioactive materials

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Community comes together to predict oxidation state of complex materials

A novel machine-learning model utilizes the collective knowledge of the chemistry community to predict the oxidation state of complex materials.

Giant indexed in Web of Science’s ESCI

Highlighted papers from Materials Today Physics

Five metals combine in 2D to create novel catalyst

Researchers have developed a 2D alloy made from five different metals and shown it can make an effective catalyst for reducing carbon dioxide.