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Simulations of how surface roughness changes over time have revealed that surfaces are worn down by the action of debris particles between them.
Novel simulations show that atom-sized steps on a substrate have the remarkable ability to keep monolayer crystal islands in alignment as they grow.
Researchers used machine learning to simulate the quantum mechanics analysis of two capacitor materials, greatly speeding up the process.
A new database has revealed that topological materials are quite common, and include everyday elements such as arsenic and gold.
Combining graphene and white graphene in a ceramic should produce a material that alters its conductivity when subject to different types of strain.
Researchers have demonstrated that the conducting organic polymer PEDOT functions in a completely different manner than previously believed.
New simulations suggest that modifying graphene with oxygen-lined pores will allow it to act as a tunable filter for ions in a liquid.
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Neural networks can predict the light-scattering properties of layered nanoparticles and design nanoparticles for a desired light-scattering behavior.
Scientists have trained a neural network to recognize features in a material's x-ray absorption spectrum that are sensitive to the arrangement of atoms.
Segregated sections of ‘zigzag’ and ‘armchair’ facets on carbon nanotubes growing from a solid catalyst are more stable than a circular arrangement.
direct laser writing approach can print such shape-changing 3D polymer micromachines in a single step
Scientists studying a ‘stripe-ordered’ cuprate superconductor discovered an unusual metallic state when trying switch off its superconductivity.
A novel algorithm considers all possible combinations of elements in the periodic table in order to predict novel hard and tough materials.
Researchers have shown that coating zinc oxide nanowires with amorphous titania can enhance their ability to catalyze the water-splitting reaction.
Scientists have discovered a previously unseen mode of a ferromagnetic property known as giant magneto-resistance in a 2D heterostructure.
Selective-area epitaxy helps nanowires into 2D for more complex devices
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Researchers have confirmed that magnetic fluctuations can act as an electron ‘pairing glue’ in iron-based superconductors.
Researchers have discovered a phenomenon that allows block copolymers to self-assemble in patterns that deviate from regular symmetrical arrays.
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