Search arXivSearch

arXiv · 2105.02311

Bending of core-shell nanowires by asymmetric shell deposition

Abstract

Freestanding semiconductor nanowires have opened up new possibilities for semiconductor devices, enabling geometries, material combinations and strain states which were not previously possible. Along these lines, spontaneous bending in asymmetric core-shell nanowire heterostructures has recently been proposed as a means to realize previously unimagined device geometries, novel strain-gradient engineering and bottom-up device fabrication. The synthesis of these nanostructures exploits the nanowire geometry and the directionality of the shell deposition process. Here, we explore the underlying mechanisms of this bending process by modeling the evolution of nanowires during asymmetric shell deposition. We show how bending can lead to dramatic local shell thickness, curvature and strain variations along the length of the nanowire, and we elucidate the dependence of shell growth and bending on parameters such as the core and shell dimensions and materials, and angle of incidence of the deposition source. In addition, deposition shadowing by neighboring nanowires is explored. We show that shadowing can easily be employed to connect nanowire pairs, which could be used to fabricate novel nanowire sensors. Model results are compared with GaAs-InP and GaAs-(Al,In)As core-shell nanowire growth experiments. These results can be used to guide future experiments and to help pave the way to bent nanowire devices.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Spencer W. McDermott, Ryan B. Lewis. 2021-07-27. Bending of core-shell nanowires by asymmetric shell deposition. https://arxiv.org/abs/2105.02311

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

The Remote Analog to Digital Conversion DAQ System for the TRISTAN Detector Upgrade

The TRISTAN detector is an upgrade to the KATRIN experiment to enable a differential measurement of the tritium $β$-decay spectrum to search for sterile neutrinos with keV masses. This entails performing precision electron spectroscopy with over one thousand silicon drift detector pixels, each responsible for recording incident electron rates of $10^5$ counts per second. A project specific data acquisition (DAQ) system is developed to meet the experimental challenges through a remote analog to digital conversion (RADC) design. In this work, the conceptual design of the RADC DAQ is presented along with the built system for operating the TRISTAN detector upgrade. The system includes flexible signal processing logic and data management that is optimized for the high-rate precision measurement.

physics.ins-det

True Alternating Current Scanning Tunneling Microscope (ACSTM): tunneling on insulators

Scanning Tunneling Microscopy (STM) has revolutionized our atomic scale understanding of surfaces and accelerated progress in nanotechnology. This technique, however, is restricted to metal or semiconducting samples, as it requires a tiny current to stabilize the tip-sample distance with atomic scale precision. We developed a new imaging and feedback method that relies on true alternating current (AC) without any direct current (DC) component. This technique does not only enable the imaging on non-conducting surfaces with atomic step resolution, like (thin) glass and oxides, it provides also access to high-frequency electronic signal coming from the sample. We demonstrate that it is possible to measure on 25nm thick silicon oxide with 10 MHz tunneling current.

physics.ins-det

Charged-particle topology reconstruction with an in-liquid SiPM array

Liquid scintillator detectors instrumented with photosensors inside the scintillation volume preserve local optical information that is largely lost in conventional boundary-readout geometries. We demonstrate that this information is sufficient for charged-particle topology reconstruction using a sparse three-dimensional lattice of silicon photomultipliers. After validating the Geant4 detector response against measured photon-count distributions, a simulation-trained, time-informed convolutional neural network reconstructs the entry and exit points of through-going muons with median residuals of 1.91~cm and 2.39~cm, respectively. The reconstructed endpoints are geometrically consistent with acceptance regions defined by external trigger counters in cosmic-ray muon data. The same framework also reconstructs the production vertices of simulated positron starting-track events with a median residual of about 4.5~cm. These results establish the feasibility of topology-sensitive reconstruction using sparse in-liquid photosensor arrays in homogeneous liquid scintillator detectors.

physics.ins-det