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Engineers have identified two aspects of the interaction between a metal and its alloying material that can predict how a particular alloy will behave.
Researchers have developed an artificial, layered crystal composed of the elements lanthanum, titanium, cobalt and oxygen in atom-thick sheets.
By simply adding a trace amount of copper, scientists have created the strongest ever silver without reducing its electrical conductivity.
Using a silver substrate and molecular-beam epitaxy , scientists were able to grow elongated, hexagon-shaped flakes of the 2D material borophene.
A new model suggests that high-temperature superconductivity in cuprates arises when electrons hop from atom-to-atom in a particular pattern.
Engineers have harnessed machine learning to design dielectric metamaterials that absorb and emit specific frequencies of terahertz radiation.
Researchers have found that doping indium oxide with molybdenum rather than tin doubles the conductivity of this transparent conductor.
A new model shows how rubbing two objects together produces static electricity by bending tiny protrusions on the surface of the objects.
Researchers have used computational techniques to identify 43 previously unknown forms of carbon that are thought to be stable and superhard.
Researchers report the first direct observation of transition carriers between different localization states within indium gallium nitride.
A structural transition in a ferroelastic material caused by heating resembles the periodic doubling seen in non-linear dynamical systems.
A novel algorithm can identify MOF pairs able to connect to one another via the metal node on one binding with the organic linker on the other.
Computing superhard materials
By focusing on uncertainty, a new algorithm can identify the most effective experiment to conduct for analyzing and developing new materials.
Researchers have developed a mathematical framework that can turn any sheet of material into any prescribed shape, using the paper craft kirigami.