Results 101 to 110 of about 57,228 (363)

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Real‐Time Sliding Mode Control Using Space Vector Modulation for Six‐to‐Three‐Phase Indirect Matrix Converters

IET Power Electronics
The central focus of this study is the integration of a high‐performance six‐phase permanent magnet synchronous generator (HPSG) with a three‐phase grid, aiming to eliminate passive components such as capacitors and enhance power injection.
Chabi Salomon Dagbédji Sanni, Augustin Mpanda Mabwe, Ahmed El Hajjaji   +2 more
doaj   +1 more source

Control of Three-to-Five-Phase Matrix Converter Using Carrier-Based PWM Algorithm

Renewable Energy and Sustainable Development, 2016
- This paper proposes a simple Carrier-Based PWM (CBPWM) technique to control the three- to five-phase Direct Matrix Converter (3×5 DMC). The proposed technique uses the indirect modulation approach to control the 3×5 DMC such as a three-phase ...
Said M Allam, Sherif M Dabour, Essam M Rashad   +2 more
doaj   +1 more source

Simulation research of the matrix converter based on direct torque control [PDF]

, 2014
Author name used in this publication: K. W. E. ChengRefereed conference paper2006-2007 > Academic research: refereed > Refereed conference paperVersion of ...
Cheng, KWE, Shi, Z
core   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Comparative Analysis of Modulation Strategies for Indirect Matrix Converter Based on RMS Value of Common-mode Voltage

Kongzhi Yu Xinxi Jishu
Indirect matrix converters (IMC) feature an AC-AC configuration without an intermediate DC link and wide application prospects in wind power generation, AC transmission, and various other fields, known for their sinusoidal input/output, high power ...
HUANG Linfeng, BAI Huan, YOU Shuai, WEN Liang, ZHANG Cheng, ZHANG Yanlei   +5 more
doaj   +3 more sources

A new class of hybrid AC/AC direct power converters [PDF]

, 2005
Variable voltage and variable frequency conversion of electrical energy from an AC source to an AC load is done in traditional power converters via a DC-link where an energy storage element (electrolytic capacitors) is situated.
Klumpner, Christian, Wheeler, Patrick, Wijekoon, Thiwanka   +2 more
core   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

Research on an Optimized Overmodulation Strategy Based on Rectifier of Indirect Space Vector of Matrix Converter [PDF]

, 2022
Yihui Xia, Xiaofeng Zhang, Zhihao Ye, Zerun Wang, Liming Huang   +4 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source