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Real-time biosignal processing on wearable devices has attracted worldwide attention for its potential in healthcare applications. However, the requirement of low-area, low-power and high adaptability to different patients challenge…

Signal Processing · Electrical Eng. & Systems 2022-09-29 Chaoming Fang , Ziyang Shen , Fengshi Tian , Jie Yang , Mohamad Sawan

Neuromorphic hardware platforms implement biological neurons and synapses to execute spiking neural networks (SNNs) in an energy-efficient manner. We present SpiNeMap, a design methodology to map SNNs to crossbar-based neuromorphic…

Theoretical studies of the tunnelling current and emission spectrum of a single electron transistor (SET) under optical pumping are presented. The calculation is performed via Keldysh Green's function method within the Anderson model with…

Mesoscale and Nanoscale Physics · Physics 2009-11-11 David M. -T. Kuo , Yia-Chung Chang

Effects of the single-electron tunneling and the Coulomb blockade in a cluster structure (the molecular transistor) are investigated theoretically. In the framework of the particle-in-a-box model for the spherical and disk-shaped gold…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 Valentin V. Pogosov , Eugene V. Vasyutin

We investigate the stochastic dynamics of nanoscale perpendicular magnetic tunnel junctions (pMTJs) and the correlations that arise when they are electrically coupled. Individual junctions exhibit thermally activated spin-transfer torque…

Mesoscale and Nanoscale Physics · Physics 2026-02-04 Dairong Chen , Ahmed Sidi El Valli , Jonathan Z. Sun , Flaviano Morone , Dries Sels , Andrew D. Kent

The interplay between Coulomb interaction and orbital symmetry produces specific transport characteristics in molecular single electron transistors (SET) that can be considered as the fingerprints of the contacted molecule. Specifically we…

Mesoscale and Nanoscale Physics · Physics 2008-07-04 Georg Begemann , Dana Darau , Andrea Donarini , Milena Grifoni

Ensuring energy-efficient design in neuromorphic computing systems necessitates a tailored architecture combined with algorithmic approaches. This manuscript focuses on enhancing brain-inspired perceptual computing machines through a novel…

Neural and Evolutionary Computing · Computer Science 2024-08-15 Ali Shiri Sichani , Sai Kankatala

Ferroelectric tunnel junctions (FTJ) based on hafnium zirconium oxide (Hf1-xZrxO2; HZO) are a promising candidate for future applications, such as low-power memories and neuromorphic computing. The tunneling electroresistance (TER) is…

We observe individual tunnel events of a single electron between a quantum dot and a reservoir, using a nearby quantum point contact (QPC) as a charge meter. The QPC is capacitively coupled to the dot, and the QPC conductance changes by…

Mesoscale and Nanoscale Physics · Physics 2009-11-10 L. M. K. Vandersypen , J. M. Elzerman , R. N. Schouten , L. H. Willems van Beveren , R. Hanson , L. P. Kouwenhoven

We have applied the Numerical Renormalization Group method to study a mesoscopic system consisting of two samples of metal separated by an insulating barrier, with nanometer dimensions, which allows the tunnelling of a single electron from…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 H. O. Frota

This paper puts forward a framework to accelerate Electromagnetic Transient (EMT) simulations by replacing individual components with trained Physics-Informed Neural Networks (PINNs). EMT simulations are considered the cornerstone of…

We report a detailed study of tunneling spectra measured on 2H-Ta$_x$Nb$_{1-x}$Se$_2$ ($x=0\sim 0.1$) single crystals using a low-temperature scanning tunneling microscope. The prominent gap-like feature unintelligible for a long time was…

The transport properties of a metal core/semiconductor shell quantum dot molecule (QDM) embedded in a matrix connected to metallic electrodes are theoretically studied in the framework of Keldysh Green function technique. The effects of the…

Mesoscale and Nanoscale Physics · Physics 2015-06-15 David M. -T. Kuo

Thermodynamic-driven filament formation in redox-based resistive memory and the impact of thermal fluctuations on switching probability of emerging magnetic switches are probabilistic phenomena in nature, and thus, processes of binary…

Other Condensed Matter · Physics 2013-10-21 Omid Kavehei , Efstratios Skafidas

We present transport measurements of silicon MOS split gate structures with and without Sb implants. We observe classical point contact (PC) behavior that is free of any pronounced unintentional resonances at liquid He temperatures. The…

Mesoscale and Nanoscale Physics · Physics 2015-05-20 A. Shirkhorshidian , N. C. Bishop , J. Dominguez , R. K. Grubbs , J. R. Wendt , M. P. Lilly , M. S. Carroll

Single-electron spin qubits employ magnetic fields on the order of 1 Tesla or above to enable quantum state readout via spin-dependent-tunnelling. This requires demanding microwave engineering for coherent spin resonance control and…

Neuromorphic computing which aims to mimic the collective and emergent behavior of the brain's neurons, synapses, axons, dendrites offers an intriguing, potentially disruptive solution to society's ever-growing computational needs. Although…

Applied Physics · Physics 2021-08-31 Uday S. Goteti , Ivan A. Zaluzhnyy , Shriram Ramanathan , Robert C. Dynes , Alex Frano

We carry out experiments on single-molecule junctions at low temperatures, using the mechanically controlled break junction technique. Analyzing the results received with more than ten different molecules the nature of the first peak in the…

Mesoscale and Nanoscale Physics · Physics 2012-03-21 Daniel Secker , Stefan Wagner , Stefan Ballmann , Rainer Härtle , Michael Thoss , Heiko B. Weber

Monte Carlo simulations and an analytical approach within the framework of a semiclassical model are presented which permit the determination of Coulomb blockade and single electron charging effects for multiple tunnel junctions coupled in…

Mesoscale and Nanoscale Physics · Physics 2009-10-30 U. E. Volmar , U. Weber , R. Houbertz , U. Hartmann

Neuromorphic computing aims to reproduce the energy efficiency and adaptability of biological intelligence in hardware. Superconducting devices are an attractive platform due to their ultra-low dissipation and fast switching dynamics. Here…

Superconductivity · Physics 2026-02-17 Khalil Harrabi , Leonardo Cadorim , Milorad Milosevic
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