Results 71 to 80 of about 5,042 (302)

Kriging Methodology for Uncertainty Quantification in Computational Electromagnetics

IEEE Open Journal of Antennas and Propagation
We present the implementation and use of the Kriging methodology, i.e., surrogate models based on Kriging interpolation, in uncertainty quantification (UQ) in computational electromagnetics (CEM).
Stephen Kasdorf, Jake J. Harmon, Branislav Notaros   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

The MOOSE electromagnetics module

SoftwareX
The Multiphysics Object-Oriented Simulation Environment (MOOSE) electromagnetics module has been developed to increase MOOSE physics module capabilities, enabling standalone and coupled computational electromagnetics within the MOOSE multiphysics ...
Casey T. Icenhour, Alexander D. Lindsay, Cody J. Permann, Richard C. Martineau, David L. Green, Steven C. Shannon   +5 more
doaj   +1 more source

Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning

Advanced Optical Materials, EarlyView.
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam, Chan Y. Park, Min Seok Jang   +2 more
wiley   +1 more source

Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview

IEEE Open Access Journal of Power and Energy
This paper provides a review of the most recent advances in artificial intelligence (AI) as applied to computational electromagnetics (CEM) to address challenges and unlock opportunities in power system applications. It is intended to provide readers and
Dinusha Maramba Gamage, Madhawa Ranasinghe, Venkata Dinavahi   +2 more
doaj   +1 more source

Waveguide Geometry–Driven Trade‐Offs in Resonant Cavity Sensor Performance

Advanced Optical Materials, EarlyView.
Waveguide geometry governs the interplay between sensitivity, intrinsic Q‐factor, and wavelength noise in silicon nitride resonant sensors. Contrary to intuition, higher sensitivity does not ensure superior performance. Low‐noise, high‐Q ridge resonators achieve the lowest detection limits, revealing that detection is ultimately constrained by noise ...
Mohammad Talebi Khoshmehr, Bakiye Imran Akca, Mateusz Słowikowski, Drecka Dagmara, Marcin Juchniewicz, Ryszard Piramidowicz, Muhammad Ali Butt   +6 more
wiley   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

Advanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov, Mahdi Shanei, Mikael Käll   +2 more
wiley   +1 more source

Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization

International Journal of Antennas and Propagation, 2008
Particle swarm optimization (PSO) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics.
Munish Rattan, Manjeet Singh Patterh, B. S. Sohi   +2 more
doaj   +1 more source

Design and Comparison of 4 Types of Dual Resonance Proximity Coupled Microstrip Patch Antennas

, 2018
International Symposium of the Applied-Computational-Electromagnetics-Society (ACES) -- MAR 25-29, 2018 -- Denver, COIn this paper there are four different shapes of proximity patch antennas (straight, trimmed, trapezoid and ribbon).
Imeci, Mustafa, Gungor, Oguzhan S., Imeci, Sehabeddin T., Kilic, Bahadir, Majidi, Negar, Sobhani, Mohammad R.   +5 more
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