Ray-traced Monte Carlo simulation tool for computer-aided design of tissue fluorescence sensing system

2017 ◽  
Author(s):  
Seung Yup Lee ◽  
Mary-Ann Mycek
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Computer Aided Design ◽  
Simulation Tool ◽  
Fluorescence Sensing ◽  
Sensing System ◽  
Computer Aided ◽  
Tissue Fluorescence ◽  
Aided Design

scholarly journals Improvement in Turn-Off Loss of the Super Junction IGBT with Separated n-Buffer Layers

Micromachines ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1422
Author(s):  
Ki-Yeong Kim ◽  
Joo-Seok Noh ◽  
Tae-Young Yoon ◽  
Jang-Hyun Kim
Keyword(s):  
Breakdown Voltage ◽  
Computer Aided Design ◽  
Buffer Layers ◽  
Simulation Tool ◽  
Electrical Characteristics ◽  
Insulated Gate Bipolar Transistor ◽  
Computer Aided ◽  
Long Time ◽  
Tcad Simulation ◽  
Aided Design

In this study, we propose a super junction insulated-gate bipolar transistor (SJBT) with separated n-buffer layers to solve a relatively long time for carrier annihilation during turn-off. This proposition improves the turn-off characteristic while maintaining similar on-state characteristics and breakdown voltage. The electrical characteristics of the devices were simulated by using the Synopsys Sentaurus technology computer-aided design (TCAD) simulation tool, and we compared the conventional SJBT with SJBT with separated n-buffer layers. The simulation tool result shows that turn-off loss (Eoff) drops by about 7% when on-state voltage (Von) and breakdown voltage (BV) are similar. Von increases by about 0.5% and BV decreases by only about 0.8%.

Linking computer-aided design (CAD) to Geant4-based Monte Carlo simulations for precise implementation of complex treatment head geometries

2010 ◽  
Vol 55 (8) ◽  
pp. N211-N220 ◽  
Author(s):  
Magdalena Constantin ◽  
Dragos E Constantin ◽  
Paul J Keall ◽  
Anisha Narula ◽  
Michelle Svatos ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Computer Aided Design ◽  
Complex Treatment ◽  
Computer Aided ◽  
Aided Design

MO-E-BRA-02: Computer Aided Design and Monte Carlo Validation of a Patient-Specific Co-60 TBI Treatment Unit

2010 ◽  
Vol 37 (6Part26) ◽  
pp. 3353-3353 ◽  
Author(s):  
M Serban ◽  
J Seuntjens ◽  
E Roussin ◽  
J Tremblay ◽  
M Chevrier ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Computer Aided Design ◽  
Patient Specific ◽  
Treatment Unit ◽  
Computer Aided ◽  
Aided Design

A computer-aided design and simulation tool for switching converters

1987 ◽  
Author(s):  
S. S. Kelkar ◽  
R. B. Ridley ◽  
C. J. Hsiao ◽  
R. Ramkumar ◽  
F. C. Lee
Keyword(s):  
Computer Aided Design ◽  
Simulation Tool ◽  
Switching Converters ◽  
Computer Aided ◽  
Aided Design

scholarly journals Computer-Aided Design of Agents That Inhibit the cep Quorum-Sensing System of Burkholderia cenocepacia

2006 ◽  
Vol 50 (1) ◽  
pp. 318-323 ◽  
Author(s):  
Kathrin Riedel ◽  
Manuela Köthe ◽  
Bernd Kramer ◽  
Wael Saeb ◽  
Astrid Gotschlich ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Antimicrobial Agents ◽  
Homoserine Lactone ◽  
Burkholderia Cenocepacia ◽  
Opportunistic Pathogens ◽  
Efficient Treatment ◽  
Sensing System ◽  
Computer Aided ◽  
Quorum Sensing System ◽  
Aided Design

ABSTRACT Recent research has provided evidence that interference with bacterial cell-to-cell signaling is a promising strategy for the development of novel antimicrobial agents. Here we report on the computer-aided design of novel compounds that specifically inhibit an N-acyl-homoserine lactone-dependent communication system that is widespread among members of the genus Burkholderia. This genus comprises more than 30 species, many of which are important pathogens of animals and humans. Over the past few years, several Burkholderia species, most notably Burkholderia cenocepacia, have emerged as important opportunistic pathogens causing severe pulmonary deterioration in persons with cystic fibrosis. As efficient treatment of Burkholderia infections is hampered by the inherent resistance of the organisms to a large range of antibiotics, novel strategies for battling these pathogens need to be developed. Here we show that compounds targeting the B. cenocepacia signaling system efficiently inhibit the expression of virulence factors and attenuate the pathogenicity of the organism.

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