Results 81 to 90 of about 15,833,154 (197)

Efficiency Improvement of Permanent Magnet Synchronous Motors Using Model Predictive Control Considering Core Loss

Energies
The highway cycle is an important consideration in the EV’s new European driving cycles (NEDCs) range, as the steady-state efficiency improvement in such conditions can be greatly beneficial.
Lian Hou, Youguang Guo, Xin Ba, Gang Lei, Jianguo Zhu   +4 more
doaj   +1 more source

Non‐Destructive, Reference‐Free Quantitative Analysis of TaOx Memristive Devices Using Soft X‐Ray Radiation

Advanced Electronic Materials, EarlyView.
A non‐destructive, quantitative approach has been developed to explore the nanoscale dynamics of TaOx‐based memristive devices. The utilization of nano‐X‐ray fluorescence analysis enables the direct probing of spatially resolved elemental distributions, including those present in buried layers, that are critical for the resistive switching.
André Wählisch, Xin Zheng, Andreas Haidl, Jan Weser, Christian Stadelhoff, Marc Dummin, Leona J. Bauer, Rainer Unterumsberger, Ilia Valov, Burkhard Beckhoff   +9 more
wiley   +1 more source

Small signal equivalent circuit model of vertical cavity surface emitting lasers

, 2001
Small signal equivalent circuit model of vertical cavity surface emitting lasers (VCSEL's) is given in this paper. The modulation properties of VCSEL are simulated using this model in Pspice program.
Tang J, Mao LH Chinese Acad Sci Inst Semicond State Key Lab Integrated Optoelect POB 912 Beijing 100083 Peoples R China., Chen HD, Liang K, Wu RB, Mao LH, Wu XW, Nian H, Guo WL   +8 more
core  

Field Data Retrieval for Electric Vehicles and Estimating Equivalent Circuit Model Parameters via Particle Swarm Optimization

Technologies
Data retrieval techniques are crucial for developing an effective battery management system for an electric vehicle to accurately assess the battery’s health and performance by monitoring operating conditions such as voltage, current, time, temperature ...
Syed Adil Sardar, Shahzad Iqbal, Jeongju Park, Sekyung Han, Woo Young Kim   +4 more
doaj   +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, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

Reliable Ru‐Based CBRAM Synapses for Energy‐Efficient Neuromorphic Computing: Suppressing Filament Overgrowth and Read Noise via Ru‐Pt Alloy and AlOx Engineering

Advanced Electronic Materials, EarlyView.
Ru–Pt alloying suppresses filament overgrowth and an AlOx switching layer enhances reliable switching, hopping transport enables conductance tuning via hopping distance modulation, Ru7Pt3/AlOx/Pt device yields 16 low‐noise conductance states, a 2–3‐fold improvement over prior Ru‐based CBRAM, and CSNN inference on FMNIST reaches 81% accuracy with 103 ...
Sangmin Lee, Sungmin Yoo, Yeonjoo Jeong, Jaewook Kim, Hyun Jae Jang, Jongkil Park, Seongsik Park, Suyoun Lee, Byeong‐Kwon Ju, Jong Keuk Park, Inho Kim   +10 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Comparative Modelling Studies of 400 MHz ST-X Quartz SAW Delay Lines for Potential Gas Sensing Applications

Archives of Acoustics, 2018
Surface Acoustic Wave (SAW) devices like delay lines, filters, resonators etc., are nowadays extensively used as principal solid state components in many electronic applications and chemical vapour sensors.
Venkatesan THIRUMAL, Banupriya RAJU, Pandiyarajan GANDHI, Haresh M. PANDYA   +3 more
doaj   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source