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Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics

Microsystems & Nanoengineering 2025年第1期11卷 465-476页

作者： Muhammad Umair Khan Bilal Hassan Anas Alazzam Shimaa Eissa Baker Mohammad Center for Cyber-Physical Systems-System on Chip Lab Khalifa UniversityAbu Dhabi 127788UAE Department of Computer and Information Engineering Khalifa UniversityAbu Dhabi 127788UAE Department of Electrical Engineering Khalifa UniversityAbu Dhabi 127788UAE Division of Engineering New York UniversityAbu Dhabi 129188UAE Department of Mechanical and Nuclear Engineering Khalifa UniversityAbu Dhabi 127788UAE Department of Chemistry Khalifa UniversityAbu Dhabi 127788UAE

Ionic fluidic devices are gaining interest due to their role in enabling self-powered neuromorphic computing *** this study,we present an approach that integrates an iontronic fluidic memristive(IFM)device with low input impedance and a triboelectric nanogenerator(TENG)based on ferrofluid(FF),which has high input *** incorporating contact separation electromagnetic(EMG)signals with low input impedance into our FF TENG device,we enhance the FF TENG’s performance by increasing energy harvesting,thereby enabling the autonomous powering of IFM devices for self-powered ***,replicating neuronal activities using artificial iontronic fluidic systems is key to advancing neuromorphic *** fluidic devices,composed of soft-matter materials,dynamically adjust their conductance by altering the solution *** developed voltage-controlled memristor and memcapacitor memory in polydimethylsiloxane(PDMS)structures,utilising a fluidic interface of FF and polyacrylic acid partial sodium salt(PAA Na^(+)).The confined ion interactions in this system induce hysteresis in ion transport across various frequencies,resulting in significant ion memory *** IFM successfully replicates diverse electric pulse patterns,making it highly suitable for neuromorphic ***,our system demonstrates synapse-like learning functions,storing and retrieving short-term(STM)and long-term memory(LTM).The fluidic memristor exhibits dynamic synapse-like features,making it a promising candidate for the hardware implementation of neural *** TENG/EMG device adaptability and seamless integration with biological systems enable the development of advanced neuromorphic devices using iontronic fluidic materials,further enhanced by intricate chemical designs for self-powered electronics.

关键词： iontronic memristive ionic fluidic devices memcapacitive ff teng s ff teng fluidic triboelectric nanogenerator teng based

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Ising Solver using Weight Profile of Memristor Crossbar Array for Combinatorial Optimization

Ising Solver using Weight Profile of Memristor Crossbar Arra...

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2024 IEEE International Electron Devices Meeting, IEDM 2024

作者： Kim, Kyuree Youn, Sangwook Park, Jinwoo Kim, Hyungjin Department of Electrical and Computer Engineering Inha University Incheon22212 Korea Republic of Division of Materials Science and Engineering Department of Semiconductor Engineering Hanyang University Seoul04763 Korea Republic of

ISBN: (纸本)9798350365429

In this work, a weight profile design is presented for efficient Ising solver system based on a Hopfield neural network (HNN) using 32×32 memristor crossbar array. It utilizes device noise in the probabilistic decision process of simulated annealing for binary current inputs. By implementing 0 and 1 weight matrix across various conductance states in the crossbar, we experimentally solve an unweighted max-cut problem. It is confirmed that higher noise levels, concentrated in high resistance states, enable more efficient convergence to the minimum point of the HNN energy function. This approach effectively exploits intrinsic noise, reducing external hardware overhead and demonstrating feasibility for optimization problems. © 2024 IEEE.

关键词： Combinatorial optimization

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An SIE-GSTC Solver for Simulation of Monoanisotropic Metasurfaces

An SIE-GSTC Solver for Simulation of Monoanisotropic Metasur...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

作者： Sierra, Sebastian Celis Zhao, Ran Chen, Rui Bagci, Hakan Computer Electrical and Mathematical Science and Engineering Division Thuwal23955-6900 Saudi Arabia

ISBN: (纸本)9781665442282

A surface integral equation (SIE) solver is proposed to simulate electromagnetic field interactions on three-dimensional arbitrarily-shaped monoanisotropic metasurfaces. The metasurface is modeled as an infinitely thin sheet on which generalized sheet transition conditions (GSTCs) are enforced. These conditions 'connect' the equivalent electric and magnetic surface currents on two sides of the metasurface using susceptibility tensors that characterize the electromagnetic response of the metasurface. A coupled system of equations in unknown surface current densities is obtained by linearly combining electric and magnetic field integral equations on two sides of the metasurface and GSTCs. © 2023 IEEE.

关键词： Electromagnetic fields

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An Explicit Discontinuous Galerkin Time-Domain Scheme to Simulate Kerr Nonlinearity

An Explicit Discontinuous Galerkin Time-Domain Scheme to Sim...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

作者： Sun, Ruitao Dong, Ming Chen, Liang Bagci, Hakan Computer Electrical and Mathematical Science and Engineering Division Thuwal23955-6900 Saudi Arabia

ISBN: (纸本)9781665442282

A discontinuous Galerkin time-domain (DGTD) method is formulated and implemented to analyze transient electromagnetic field interactions in a medium with Kerr nonlinearity. The (nonlinear) Maxwell equations in conservative form are discretized using a DG scheme that employs the Harten-Lax-van Leer numerical flux to facilitate the information exchange between discretization elements. A slope limiter is introduced into the DGTD method to prevent generation of non-physical oscillations in the solution and maintain the stability of the explicit time marching. Numerical examples, which demonstrate the applicability and the accuracy of the proposed method, are presented. © 2023 IEEE.

关键词： Numerical methods

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First-order reversal curve analysis of superparamagnetic nanoparticles with oriented easy axis of magnetization

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Journal of the Magnetics Society of Japan 2023年第4期47卷 115-117页

作者： Sasaoka, Eisuke Yang, Chao Trisnanto, Suko Bagus Song, Zenglu Ota, Satoshi Takemura, Yasushi Division of Electrical and Computer Engineering Yokohama National University Yokohama240-8501 Japan School of Electrical Engineering Nanjing Vocational University of Industry Technology Nanjing210023 China Department of Electrical and Electronic Engineering Shizuoka University Hamamatsu432-8561 Japan

We analyzed the magnetization process of magnetic nanoparticles using first-order reversal curve (FORC) analysis and verified a superparamagnetic feature and the orientation of the easy axis of the particles. The FORCs and FORC diagram of magnetic nanoparticles dispersed in water exhibited a superparamagnetic feature. The differences in the magnetizations and distributions of the coercive force of the solid-state samples were used to identify the orientation of the easy axes of magnetization. © 2023 by the Magnetics Society of Japan.

关键词： Magnetic anisotropy

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Adversarial Robustness of Multi-agent Reinforcement Learning Secondary Control of Islanded Inverter-based AC Microgrids 14

Adversarial Robustness of Multi-agent Reinforcement Learning...

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14th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023

作者： Shereen, Ezzeldin Kazari, Kiarash Dan, Gyorgy Kth Royal Institute of Technology Division of Network and Systems Engineering School of Electrical Engineering and Computer Science Stockholm Sweden

ISBN: (纸本)9781665455541

Secondary control of voltage magnitude and frequency is essential to the stable and secure operation of microgrids (MGs). Recent years have witnessed an increasing interest in developing secondary controllers based on multi-agent reinforcement learning (MARL), in order to replace existing model-based controllers. Nonetheless, unlike the vulnerabilities of model-based controllers, the vulnerability of MARLbased MG secondary controllers has so far not been addressed. In this paper, we investigate the vulnerability of MARL controllers to false data injection attacks (FDIAs). Based on a formulation of MG secondary control as a partially observable stochastic game (POSG), we propose to formulate the problem of computing FDIAs as a partially observable Markov decision process (POMDP), and we use state-of-the-art RL algorithms for solving the resulting problem. Based on extensive simulations of a MG with 4 distributed generators (DGs), our results show that MARL-based secondary controllers are more resilient to FDIAs compared to state of the art model-based controllers, both in terms of attack impact and in terms of the effort needed for computing impactful attacks. Our results can serve as additional arguments for employing MARL in future MG control. © 2023 IEEE.

关键词： Controllers

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Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1552-1562页

作者： Dao H.Vu Kashem M.Muttaqi Ashish P.Agalgaonkar Arian Zahedmanesh Abdesselam Bouzerdoum School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongAustralia Information and Computing Technology Division College of Science and EngineeringHamad Bin Khalifa UniversityDohaQatar IEEE

The incorporation of weather variables is crucial in developing an effective demand forecasting model because electricity demand is strongly influenced by weather *** dependence of demand on weather conditions may change with time during a ***,the time stamped weather information is *** this paper,a multi-layer moving window approach is proposed to incorporate the significant weather variables,which are selected using Pearson and Spearman correlation *** multi-layer moving window approach allows the layers to adjust their size to accommodate the weather variables based on their significance,which creates more flexibility and adaptability thereby improving the overall performance of the proposed ***,a recursive model is developed to forecast the demand in multi-step *** electricity demand data for the state of New South Wales,Australia are acquired from the Australian Energy Market Operator and the associated results are reported in the *** results show that the proposed approach with dynamic incorporation of weather variables is promising for day-ahead and week-ahead load demand forecasting.

关键词： Autoregressive(AR)model load forecasting multi-layer moving window Pearson correlation Spearman correlation

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RIS-Assisted UAV-Enabled JSAC System: Joint Radio Resource and Phase Shift Optimization Framework

RIS-Assisted UAV-Enabled JSAC System: Joint Radio Resource a...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Tun, Yan Kyaw Dán, György School of Electrical Engineering and Computer Science Kth Royal Institute of Technology Division of Network and Systems Engineering Stockholm Sweden

ISBN: (纸本)9798350370218

We propose a reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV)-enabled joint communication and sensing (JSAC) system in which multiple JSAC nodes equipped with both sensing and communication functions are deployed to perform sensing and communication simultaneously, and a communication-enabled RIS is installed to provide strong wireless links for JSAC nodes to communicate with the UAV (i.e., aerial base station). We then formulate the problem of maximizing the sum communication rate of JSAC nodes while ensuring their minimum sensing performance requirements, i.e., minimum estimation rate requirements, by jointly optimizing sub-band assignment, adaptive bandwidth allocation, and the RIS phase shift. The resulting problem is a mixed-integer nonlinear programming (MILP) problem with a non-convex structure, thus, to solve the problem efficiently, we decompose the problem into two coupled sub-problems, a sub-band assignment and adaptive bandwidth allocation problem, and a RIS phase shift problem. We propose a low-complexity iterative algorithm for solving the sub-problems in an alternating manner. Extensive simulations show that the proposed algorithm can increase the communication rate by up to 27.51 %,48.747%, and 62.0942% compared to RSA, RPS, and RSRPS schemes. © 2023 IEEE.

关键词： dual decomposition Joint sensing and communication one-to-one matching game reconfigurable intelligent surface unmanned aerial vehicle whale optimization

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Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model

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Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 471-481页

作者： Shengyuan Liu Tianhan Zhang Zhenzhi Lin Yilu Liu Yi Ding Li Yang the School of Electrical Engineering Zhejiang UniversityHangzhou 310027China the Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN 37996USA the School of Electrical Engineering Shandong UniversityJinan 250061China Electrical and Electronics Systems Research Division Oak Ridge National LaboratoryOak RidgeTN 37830USA

Controlled islanding plays an essential role in preventing the blackout of power *** there are several studies on this topic in the past,no enough attention is paid to the uncertainty brought by renewable energy sources(RESs)that may cause unpredictable unbalanced power and the observabilit>T of power systems after islanding that is essential for back-up black-start ***,a novel controlled islanding model based on mixed-integer second-order cone and chance-constrained programming(MISOCCP)is proposed to address these ***,the uncertainty of RESs is characterized by their possibility distribution models with chance constraints,and the requirements,e.g.,system observability,for rapid back-up black-start measures are also ***,a law of large numbers(LLN)based method is em-ployed for converting the chance constraints into deterministic ones and reformulating the non-convex model into convex ***,case studies on the revised IEEE 39-bus and 118-bus power systems as well as the comparisons among different models are given to demonstrate the effectiveness of the proposed *** results show that the proposed model can result in less unbalanced power and better observability after islanding compared with other models.

关键词： Controlled islanding second-order cone chance-constrained programming renewable energy source(RES) black-start observability.

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Time-Invariant Beampattern Design in Frequency Diverse Array Radar: Some New Results 4

Time-Invariant Beampattern Design in Frequency Diverse Array...

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4th International Conference on Digital Futures and Transformative Technologies, ICoDT2 2024

作者： Shaiza Ahmed, Obaidullah Ali, Hussain Zaib, Alam Ahmed, Sajid National University of Sciences and Technology School of Electrical Engineering and Computer Science Islamabad Pakistan National University of Sciences and Technology Department of Electrical Engineering Military College of Signals Islamabad Pakistan COMSATS University Islamabad Department of Electrical and Computer Engineering Islamabad Abbottabad22060 Pakistan King Abdullah University of Science and Technology Computer Electrical and Mathematical Sciences and Engineering Division Thuwal23955-6900 Saudi Arabia

ISBN: (纸本)9798350391862

A new frequency diverse array (FDA) radar system is proposed for range estimation of a target using time-invariant beampattern. To illuminate a desired range, the transmit beampattern is optimized using the inverse fast Fourier transform (IFFT) technique. This allows for a longer dwell period, which improves the accuracy of weak target identification. To lessen noise effects in range estimation, the minimum power distortionless response (MPDR) beamformer is employed. The precision of range estimation is derived using the Cramér-Rao lower bound (CRLB). Based on simulation data, the FDA design that has been proposed performs better than current approaches as measured by the root-mean-squared error (RMSE). The proposed FDA radar shows superior target localization performance compared to existing techniques, achieving the CRLB at a signal-to-noise (SNR) value of -5 dB. © 2024 IEEE.

关键词： Mean square error

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