Results 131 to 140 of about 6,505 (303)
Hysteresis modulation of multilevel inverters
, 2010 The hysteresis modulation for power electronic converters is attractive in many different applications because of its unmatched dynamic response and wide command-tracking bandwidth.
Ghosh, A. +5 more
core +1 more source
Advanced Electronic Materials, EarlyView.This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Reliability analysis and improvement of multilevel converters
, 2019 Power converter based variable-frequency drive is much more energy efficient than traditional fixed-speed motor. It can reduce the operating cost of motor drive system significantly.
Tu, Pengfei
core +1 more source
Advanced Electronic Materials, EarlyView.A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Retificadores multiníveis PWM unidirecionais de alto fator de potência com célula de comutação de múltiplos estados [PDF]
, 2012 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2012Este trabalho apresenta o estudo de retificadores unidirecionais com alto fator de potência, monofásicos e
Ortmann, Márcio Silveira
core
Three-level-PN-cell-for-multilevel-converters
, 2019 Simulation files for a three-level PN converter cell including average model, model validation and various example applications.
Stig Munk-Nielsen (6931493) +1 more
core +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
, 2005 The multicarrier phase-shifted sinusoidal pulse-width modulation (MPS-SPWM) technique is well-known for its important advantage of offering an increased overall bandwidth as the number of carriers multiplied with their equal frequency directly controls ...
Cossar, C. +3 more
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Advanced Electronic Materials, EarlyView.Ultrathin Al‐substituted YIG films with perpendicular magnetic anisotropy are sputter‐grown directly on Si/SiOx using an ultrathin AlOx buffer layer. Al diffusion reduces the saturation magnetization and stabilizes PMA via magnetoelastic effects. Pt/Al:YIG bilayers exhibit strong spin Hall magnetoresistance and efficient spin–orbit torque switching ...
Matteo Fettizio +4 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source