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Spiking Neural Networks (SNNs) are efficient computation models to perform spatio-temporal pattern recognition on {resource}- and {power}-constrained platforms. SNNs executed on neuromorphic hardware can further reduce energy consumption of…

Neural and Evolutionary Computing · Computer Science 2020-12-01 Adarsha Balaji , Anup Das

Recent theoretical calculations and photoemission spectroscopy measurements on the bulk Bi2Se3 material show that it is a three-dimensional topological insulator possessing conductive surface states with nondegenerate spins, attractive for…

Mesoscale and Nanoscale Physics · Physics 2010-05-02 Desheng Kong , Jason C. Randel , Hailin Peng , Judy J. Cha , Stefan Meister , Keji Lai , Yulin Chen , Zhi-Xun Shen , Hari C. Manoharan , Yi Cui

Quantum dots tuned to atomic resonances represent an emerging field of hybrid quantum systems where the advantages of quantum dots and natural atoms can be combined. Embedding quantum dots in nanowires boosts these systems with a set of…

Hybrid structures of semiconducting (SM) nanowires, epitaxially grown superconductors (SC), and ferromagnetic-insulator (FI) layers have been explored experimentally and theoretically as alternative platforms for topological…

Spiking neural networks (SNN) provide a new computational paradigm capable of highly parallelized, real-time processing. Photonic devices are ideal for the design of high-bandwidth, parallel architectures matching the SNN computational…

Neural and Evolutionary Computing · Computer Science 2022-08-30 Luis El Srouji , Yun-Jhu Lee , Mehmet Berkay On , Li Zhang , S. J. Ben Yoo

Subband occupancy (i.e. the number of occupied subbands or energy levels in the semiconductor) is a key physical parameter characterizing the topological properties of superconductor-semiconductor hybrid systems in the context of the search…

Mesoscale and Nanoscale Physics · Physics 2020-01-15 Benjamin D. Woods , Sankar Das Sarma , Tudor D. Stanescu

Network structures by semiconductor nanowires hold great promise for advanced quantum devices, especially for applications in topological quantum computing. In this study, we created networks of PbTe nanowires arranged in loop…

Selective area growth (SAG) of nanowires and networks promise a route toward scalable electronics, photonics and quantum devices based on III-V semiconductor materials. The potential of high-mobility SAG nanowires however is not yet fully…

Inverse-designed nanophotonic media are a promising platform for compact optical neural networks, but training them end to end is expensive because each adjoint iteration couples the full-wave solver to the dataset minibatch, so the number…

Optics · Physics 2026-04-24 Azka Maula Iskandar Muda , Uğur Teğin

Bottom-up grown nanomaterials play an integral role in the development of quantum technologies. Among these, semiconductor nanowires (NWs) are widely used in proof-of-principle experiments, however, difficulties in parallel processing of…

Scatterometry is a tested method for measuring periodic semiconductor structures. Since the sizes of modern semiconductor structures have reached the nanoscale regime, the challenge is to determine the shape of periodic nanostructures with…

Superconductor proximitized one-dimensional semiconductor nanowires with strong spin-orbit interaction (SOI) are at this time the most promising candidates for the realization of topological quantum information processing. In current…

Mesoscale and Nanoscale Physics · Physics 2016-08-16 Georg W. Winkler , QuanSheng Wu , Matthias Troyer , Peter Krogstrup , Alexey A. Soluyanov

We report on realization and transport spectroscopy study of single quantum dots (QDs) made from InSb nanowires grown by molecular beam epitaxy (MBE). The nanowires employed are 50-80 nm in diameter and the QDs are defined in the nanowires…

Mesoscale and Nanoscale Physics · Physics 2015-09-30 Dingxun Fan , Sen Li , N. Kang , Philippe Caroff , L. B. Wang , Y. Q. Huang , M. T. Deng , C. L. Yu , H. Q. Xu

Indium antimonide (InSb) nanowires are used as building blocks for quantum devices because of their unique properties, i.e., strong spin-orbit interaction and large Land\'e g-factor. Integrating InSb nanowires with other materials could…

Epitaxially-grown semiconductor heterostructures give the possibility to tailor the potential landscape for the carriers in a very controlled way. In planar lattice-matched heterostructures, the potential has indeed a very simple and easily…

Materials Science · Physics 2011-08-23 Yann-Michel Niquet , Christophe Delerue

The miniaturization of diagnostic devices that exploit optical detection schemes requires the design of light-sources combining small size, high performance for effective excitation of chromophores, and mechanical flexibility for easy…

Networks of silicon nanowires possess intriguing electronic properties surpassing the predictions based on quantum confinement of individual nanowires. Employing large-scale atomistic pseudopotential computations, as yet unexplored branched…

Mesoscale and Nanoscale Physics · Physics 2013-11-18 Ümit Keleş , Bartosz Liedke , Karl-Heinz Heinig , Ceyhun Bulutay

The tunable properties of molecular materials place them among the favorites for a variety of future generation devices. In addition, to maintain the current trend of miniaturization of those devices, a departure from the present top-down…

The superconducting proximity effect has been the focus of significant research efforts over many years and has recently attracted renewed interest as the basis of topologically non-trivial states in materials with a large spin orbit…

Mesoscale and Nanoscale Physics · Physics 2019-07-10 C. Jünger , A. Baumgartner , R. Delagrange , D. Chevallier , S. Lehmann , M. Nilsson , K. A. Dick , C. Thelander , C. Schönenberger

In-plane semiconductor nanowires with complex branched geometries, prepared via selective area growth (SAG), offer a versatile platform for advanced electronics, optoelectronics, and quantum devices. However, defects and disorder at the…

Mesoscale and Nanoscale Physics · Physics 2025-05-12 Pradip Adhikari , Anjali Rathore , Dayrl P Briggs , Srijanto R Bernadeta , Joon Sue Lee