نتایج جستجو برای: kieran egan

تعداد نتایج: 568  

2015
Michael de Rooij

eGaN FETs have repeatedly demonstrated higher efficiency than MOSFETs in wireless power transfer amplifiers when operated over a wide impedance range using a ZVS Class D amplifier [1, 2, 3, 4, 5, 6, 7, and 8]. In this article we examine a method to further improve the performance of eGaN FETs by replacing the bootstrap diode of the high side gate driver with an eGaN FET that is driven synchrono...

2010
Bevan Kieran Sharma

4 Intermediate-range order in moltennetwork-forming systems Bevan Kieran SharmaUniversity College London. A thesis submitted in partial fulfillment of the requirementsfor the degree of Doctor of Philosophy, November 2009.

2015
David Reusch Johan Strydom Alex Lidow

Power converters are constantly trending towards higher output power, higher efficiency, and higher power density. To provide improved performance better power devices are required. For silicon (Si) power devices, the gains in performance have slowed as the technology has matured and approaches its theoretical limits [1]. Gallium nitride (GaN) devices have emerged as a possible replacement for ...

Journal: :Hispanic American Historical Review 1928

2014
Aydin Babakhani

EPC’s enhancement mode gallium nitride (eGaN®) power transistors are a new generation of power switches offering unsurpassed performance over silicon power MOSFETs in switching speed and conduction losses with superior thermal characteristics. An accurate circuit and device model is a valuable tool for developing new topologies, building successful designs, and shortening time to market. This a...

2011
Jesse Paquette Taku A. Tokuyasu

The EGAN software is a functional implementation of a simple yet powerful paradigm for exploration of large empirical data sets downstream from computational analysis. By focusing on systems-level analysis via enrichment statistics, EGAN enables a human domain expert to transform high-throughput analysis results into hypergraph visualizations: concept maps that leverage the expert’s semantic un...

2014
Matteo Pelucchi Kieran P. Somers Ultan Burke Chiara Saggese Alessio Frassoldati Eliseo Ranzi Henry J. Curran Tiziano Faravelli

Kinetic modelling of Biofuels: Pyrolysis and Auto-Ignition of Aldehydes Matteo Pelucchi*, Kieran P. Somers, Ultan Burke, Chiara Saggese, Alessio Frassoldati, Eliseo Ranzi, Henry J. Curran, Tiziano Faravelli Dipartimento di Chimica, Materiali e Ingegneria Chimica “G. Natta”, Politecnico di Milano, Milano, Italy Combustion Chemistry Centre, National University of Ireland, Galway, Ireland matteo.p...

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