Computation and theory

Too fast for friction

Researchers have discovered why friction and wear are reduced when two metal surfaces slide against each other at very high speeds.

New algorithm turns disorder into architected materials

Inspired by how termites build their nests, a novel algorithm uses simple rules to design architected materials with unique mechanical properties.

Long-standing superconducting theory explains much but not everything

Researchers have discovered that a long-standing theory can only explain around 50% of the superconductivity in a copper oxide superconductor.

New machine-learning method puts the color into material analysis

Researchers have devised a new machine-learning method for creating color-coded graphs of large volumes of data from X-ray analysis.

New mechanism can increase strength and ductility of advanced alloys

Researchers have discovered a new strain-based mechanism that can increase both the strength and ductility of high-entropy alloys.

Openings for Editors, the Acta Journals

High-entropy alloys can be printed to order

Researchers have 3D-printed a dual-phase, nanostructured high-entropy alloy with both high strength and ductility.

New machine-learning method applies symmetry to advanced materials

Researchers have designed a machine-learning method that uses symmetry to predict the structure of materials from their constitutive elements.

Graphene helps reveal swimming atoms

Using a graphene liquid cell, researchers have, for the first time, managed to capture images of single atoms ‘swimming’ in liquid.

New finding puts a novel spin on 2D magnets

Using neutron scattering, researchers have, for the first time, discovered a a novel state of matter called a spiral spin liquid in a 2D material.