In a study published in Advanced Electronic Materials, researchers developed work in the quantitative relationship between the surface and bulk electronic structures provides guide for precise engineering of the oxygen‐vacancy‐induced 2DEG in SrTiO3.
In a study published in Small, Center for Nanoscale Materials researchers created a protocol for controlling shell morphology in water-processed semiconductor nanoparticles and revealed the dependence of charge separation efficiency on shell morphology.
Center for Nanoscale Materials researchers present a quantum model for achieving ground-state cooling in low frequency mechanical resonators and show how cooperativity and entanglement are key factors to enhance the cooling figure of merit.
In a study published in Nature Physics, researchers pioneered, with the worldwide advent of new coherent X-ray sources, the experimental and analysis methods will enable broad application of XPCS to observe atomic-scale processes on surfaces.
An experiment at the Argonne Wakefield Accelerator demonstrates the potential of a novel metamaterial structure to yield higher accelerating gradients than current particle accelerator technology provides.
Two new methods reduce noise and remove errors in quantum observables by focusing on individual noise sources. They add little qubit overhead and can be used in quantum sensing and general quantum experimentation, as well as quantum computing.
In a Nature Communications article, a team led by Center for Nanoscale Materials researchers introduces a machine learning workflow of models for water transformations that increases accuracy at lower computational cost.