In a study published in Nature Photonics, researchers indicated the observed nonequilibrium anisotropic structural dynamics agrees with first-principles modelling in both real and momentum space.
In a study published in Advanced Materials, researchers show results describing a generic framework for the construction of dynamic systems and devices with an array of field‐tunable properties.
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 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.
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.
Using a single actuation signal, a frequency comb is generated in a micromechanical resonator from two vibrational modes, flexural and torsional, whose interactions are responsible for the unique response.
In a study published in Nano Letters, researchers highlight the versatility of the Si-BP material platform for creating optically active devices in integrated silicon chips.
In a study published in Science, researchers describe a method of preparing highly active yet stable electrocatalysts containing ultralow Pt content using Co or Co/Zn zeolitic imidazolate frameworks.
