A5042909112- Advanced Memory and Neural Computing
- Photonic and Optical Devices
- Ferroelectric and Negative Capacitance Devices
- Magnetic properties of thin films
- Forecasting Techniques and Applications
- Quantum and electron transport phenomena
- Semiconductor materials and devices
- Plasmonic and Surface Plasmon Research
- Advancements in Semiconductor Devices and Circuit Design
- Stock Market Forecasting Methods
- Grey System Theory Applications
- Optical Coatings and Gratings
- Gold and Silver Nanoparticles Synthesis and Applications
- Perovskite Materials and Applications
- Time Series Analysis and Forecasting
- Photonic Crystals and Applications
- Monetary Policy and Economic Impact
- Magnetic and transport properties of perovskites and related materials
- Slime Mold and Myxomycetes Research
- Multiferroics and related materials
- Semiconductor Quantum Structures and Devices
- Machine Learning and ELM
- Neuroscience and Neural Engineering
- Nonlinear Dynamics and Pattern Formation
- Molecular Junctions and Nanostructures
Purdue University West Lafayette
2016-2022
American University in Cairo
2013-2016
Cairo University
2010-2011
Trees are used by animals, humans and machines to classify information make decisions. Natural tree structures displayed synapses of the brain involves potentiation depression capable branching is essential for survival learning. Demonstration such features in synthetic matter challenging due need host a complex energy landscape learning, memory electrical interrogation. We report experimental realization tree-like conductance states at room temperature strongly correlated perovskite...
Habituation and sensitization represent nonassociative learning mechanisms in both non‐neural neural organisms. They are essential for a range of functions from survival to adaptation dynamic environments. Design hardware neuroinspired computing strives emulate such features driven by electric bias can also be incorporated into network algorithms. Herein, cellular‐like oxygen‐deficient NiO x devices is demonstrated. Both habituation response achieved single device simply controlling the...
Abstract In this paper we propose a Bayesian forecasting approach for Holt's additive exponential smoothing method. Starting from the state space formulation, formula forecast is derived and reduced to two‐dimensional integration that can be computed numerically in straightforward way. contrast much of work smoothing, method produces density and, addition, it considers initial level trend as part parameters evaluated. Another contribution have way reduce computation maximum likelihood...
Systems that rely on energy harvested from ambient sources are gaining increased attention due to their possible usage in low-power applications. Owing the unreliable nature of such sources, these systems suffer supply voltage degradation and power interruptions. Therefore, computational scheme for energy-harvesting is divided into small incremental steps along with nonvolatile memory elements conserve data between subsequent Toward end, we propose a new flip-flop (NVFF) exhibits better...
In this paper, new models based on an artificial neural network (ANN) are developed to predict the propagation characteristics of plasmonic nanostrip and coupled nanostrips transmission lines. The trained ANNs capable providing required with good accuracy almost instantaneously. nonlinear mapping performed by is written as closed-form expressions, which facilitate direct use results obtained in research. investigated lines include effective refractive index characteristic impedance. time...
In this paper, a novel compact plasmonic polarization converter is proposed. This rotator based on conversion between even and odd modes of the coupled nanostrip transmission line. The that line have vertical horizontal polarization, respectively. proposed structure capable transferring optical field from substrate to surface chip. energy transfer can be utilized for multilevel routing in circuits. device optimized using genetic algorithm optimal performance at telecommunication range 1.55...
Spin transfer torque (STT)-based switching of magnetic random access memories (MRAMs) has stimulated considerable research interest in recent years. The nonvolatility STT-MRAMs, high areal density, and low static power dissipation makes them a strong contender for possible replacement conventional silicon-based memories. However, major bottleneck associated with STT-MRAMs is their write current requirement. Recently, it been demonstrated that the STT mechanism can be improved by using other...
The majority of the combinatorial optimization problems are solved by searching a solution space that grows as an exponential function problem size. Such class scales inefficiently on Boolean von Neumann architecture. On other hand, alternative computing techniques like coupled-oscillator networks efficient in solving problems. In this article, we demonstrate effectiveness antiferroelectric tunnel junctions (AFTJs) for such graph coloring. AFTJs show high ON-/OFF-current ratio. ratio allows...
This brief presents a novel sensing approach for spin-based memories that augments the read sense margin and improves decision failure without deteriorating disturb by changing current dynamically according to bit-cell state. The proposed circuit consists of three main sub-circuits: 1) bit-cell; 2) bit-line amplifier; 3) standard current-latch amplifier. amplifier is basic with positive feedback connection achieve higher dynamic current. As result, significant increase in eliminates effect...
Retarded contact self-energies in the framework of nonequilibrium Green's functions allow to model impact lead structures on device without explicitly including leads actual calculation. Most self-energy algorithms are limited homogeneous or periodic, semi-infinite structures. In this work, complex absorbing potential method is extended solve retarded for arbitrary structures, irregular and randomly disordered leads. This verified regular against common approaches physically equivalent, but...
Electronic performance predictions of modern nanotransistors require nonequilibrium Green's functions including incoherent scattering on phonons as well inclusion random alloy disorder and surface roughness effects. The solution all these effects is numerically extremely expensive has to be done the world's largest supercomputers due large memory requirement high demands communication network between compute nodes. In this work, it shown that NEMO5 covers required physical their combination....
`In-memory computing' is an emerging paradigm that attempts to embed some aspects of logic computations inside memory arrays leading higher throughput and lesser energy-consumption. Consequently, various in-memory compute proposals using non-volatile technologies based on functional read- wherein multiple word-lines are simultaneously activated a Boolean function the constituent rows read, being extensively investigated. In this brief, we first show conventional sensing scheme for such...
ABSTRACT In this article, a new plasmonic narrow band pass filter is introduced and optimized versus different dimensions. The based on Lange coupler with open circuit termination in two of its ports. results are validated by full‐wave solvers. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:446–448,
Multiferroic tunnel junctions (MFTJs) have seen time in the spotlight lately, due to their high tunneling electroresistance and nonvolatility, which are appealing for digital memory devices. In this theoretical analysis of MFTJs, time-dependent perturbation theory yields relation between ferroelectric polarization ferromagnetic order at ferroelectric/ferromagnetic interface. Furthermore, parameters simulations estimated from density functional experimental results, a comprehensive...