Results 131 to 140 of about 51,359 (241)

High‐Performance and Energy‐Efficient Sub‐5 nm 2D Double‐Gate MOSFETs Based on Silicon Arsenide Monolayers (Adv. Electron. Mater. 5/2026)

Advanced Electronic Materials, Volume 12, Issue 5, 9 March 2026.
Double‐Gate MOSFETs The cover art illustrates sub‐5 nm double‐gate metal‐oxide‐semiconductor field‐effect transistors utilizing 2D silicon arsenide monolayers as channel materials. These transistors exhibit superior performance and energy efficiency, meeting the ITRS 2028 requirements.
Dogukan Hazar Ozbey, Engin Durgun
wiley   +1 more source

Discussion and prospects of active gate driver technology for SiC devices

机车电传动
Silicon carbide metal-oxide-semiconductor field effect transistors (SiC MOSFETs) exhibit outstanding advantages in high-frequency, high-temperature, high-voltage, and high-current applications due to their superior performance.
HU Runchen, WANG Jiayi, LUO Xiang, LI Menghao, ZHANG Jianliang, HU Sideng   +5 more
doaj  

Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan, Seyed Mehdi Sattari‐Esfahlan, Eou‐Sik Cho, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Hybrid Convolutional Neural Network‐Analytical Model for Prediction of Line Edge Roughness‐Induced Performance Variations in Fin‐Shaped Field‐Effect Transistor Devices and SRAM

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim, Myongjin Kim, Changwoo Han, Hyoung Won Baac, Changhwan Shin   +4 more
wiley   +1 more source

Electropermanent Magnetic Muscles: Power‐Efficient, Low‐Voltage, Compact Magnetic Actuators to Power Wearables and Untethered Robots

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
This work presents compact, low‐voltage actuators based on electropermanent magnetic interactions. The actuators show good overall performance across key metrics and are implemented in wearable devices and untethered robots. Their ability to operate in different configurations and hold positions without energy input highlights their potential for ...
Arturo Castillo Ugalde, Carina Carrasco, Brijesh Chavda, Thileepan Stalin, Pablo Valdivia y Alvarado   +4 more
wiley   +1 more source

State of Charge Estimation of EV Secondary Battery Pack Using Hybrid Hedge Feedforward Feedback‐Based Gated Recurrent Unit to Extend Lifespan

Battery Energy, Volume 5, Issue 2, March 2026.
SOC estimation is performed using a newly developed online HFF‐GRU method. Improves charge balancing among battery cells, leading to a substantial increase in the battery pack's lifespan. ABSTRACT Accurate estimation of state of charge (SoC) and maintaining balanced charge levels across secondary battery cells are crucial in battery management systems (
Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A. S. Masoum, Paul Moses   +4 more
wiley   +1 more source

Enhancing Q‐Learning via State‐Space Design for Active Battery Balancing

Battery Energy, Volume 5, Issue 2, March 2026.
This study investigates the profound impact of state definition on the efficacy of Q‐learning for active battery balancing in lithium‐ion battery packs. We define and evaluate three distinct state representations—[State 1, 11‐state space definition], [State 2, 27‐state space definition], and [State 3, 81‐state space definition]—within a reinforcement ...
Fatemeh Ebrahimabadi, Hamed Kebriaei, Shahin Jafarabadi Ashtiani   +2 more
wiley   +1 more source

Real‐Time Phosphate Monitoring via Plant‐Derived Graphene Ink FET Sensors Integrated with Deep Learning

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 2, March 2026.
Accurate, real‐time nutrient monitoring is challenging in precision agriculture due to cost and technical limitations. Aligned with circular green economics, a deep learning‐integrated remote‐gate field‐effect transistor sensor with plant‐derived graphene electrodes offers a sustainable solution.
Rapti Ghosh, Fengxue Zhang, Hyun‐June Jang, Janan Hui, Kayla Vittore, Haoyang You, Rozyyev Vepa, Wen Zhuang, Xingkang Huang, Haihui Pu, Jeffrey W. Elam, Stuart J. Rowan, DoKyoung Lee, Elizabeth A. Ainsworth, Mark C. Hersam, Yuxin Chen, Junhong Chen   +16 more
wiley   +1 more source

Low Power and Energy‐Efficient Design of MTJ/FinFET Circuits

Engineering Reports, Volume 8, Issue 3, March 2026.
This work begins by outlining the fundamental concepts of MTJs, FinFETs, and the conventional hybrid CMOS/MTJ framework. It then explains the operating mechanism and configuration of the proposed STT‐MTJ/FinFET‐based OR logic gate. The final sections present the simulation outcomes and analyze the influence of FinFET fin variation.
Pillem Ramesh, Atul S. M. Tripathi
wiley   +1 more source