Results 101 to 110 of about 194,360 (332)

BeeRootBot: A Bioinspired Robotic Probe Exhibiting Apical Growth through In Situ Soil Binding

Advanced Intelligent Systems, EarlyView.
This study introduces a novel method for consolidating subterranean exploration pathways in plant‐inspired robots by binding in‐situ soil with beeswax, a biobased material. This simultaneous advancement and wall‐lining process reduces penetration resistance, enhances exploration efficiency, enables communication and resource sharing, and promotes ...
Sachin Sachin, Alessio Mondini, Stefano Mariani, Emanuela Del Dottore, Barbara Mazzolai   +4 more
wiley   +1 more source

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

Advanced Intelligent Systems, EarlyView.
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

Experimental electromagnetic compatibility of conducted electromagnetic interferences from an IGBT and a MOSFET in the power supply

Electrical engineering & Electromechanics
Introduction. Most electromagnetic compatibility studies carried out in the context of power switch research are generally valid for low frequencies. This frequency restriction appears to be too restrictive for a complete analysis of the electromagnetic ...
M. E. Lahlaci, M. Miloudi, H. Miloudi
doaj   +1 more source

Self-aligned silicidation of surround gate vertical MOSFETs for low cost RF applications

, 2010
We report for the first time a CMOS-compatible silicidation technology for surround-gate vertical MOSFETs. The technology uses a double spacer comprising a polysilicon spacer for the surround gate and a nitride spacer for silicidation and is successfully
A. Abuelgasim, A. Bousquet, C. H. de Groot, K. Mallik, L. Tan, M. M. A. Hakim, P. Ashburn, S. Connor, S. Hall, W. Redman-White   +9 more
core   +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, EarlyView.
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, EarlyView.
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

Analytical model of nanowire FETs in a partially ballistic or dissipative transport regime

, 2009
The intermediate transport regime in nanoscale transistors between the fully ballistic case and the quasi equilibrium case described by the drift-diffusion model is still an open modeling issue.
Iannaccone, Giuseppe, Michetti, Paolo, Mugnaini, Giorgio   +2 more
core   +1 more source

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

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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

Modeling of Power Module for 48 V High Power Inverter [PDF]

Informacije MIDEM, 2021
T. Skuber, A. Sešek, J. Trontelj
doaj   +1 more source

Adaptive Hybrid Energy Harvester Integrating PV, TEG, and Piezoelectric Sources With Real‐Time Power Management and Experimental Validation

Energy Science &Engineering, EarlyView.
An adaptive hybrid energy harvester combining photovoltaic, thermoelectric, and piezoelectric sources is experimentally demonstrated. Real‐time power management dynamically allocates and conditions multisource inputs, achieving improved robustness and efficiency under variable environmental conditions compared with single‐source harvesting.
P. Ndy Von Kluge, G. G. Sengha, B. Doumia, Y. M. Samba   +3 more
wiley   +1 more source