Agilent Technologies Simulation and Modeling Software Selected by Nitronex for High-Power GaN Design

  
  

SANTA CLARA, Calif., Feb. 11, 2014

Agilent Technologies Inc. (NYSE: A) today announced that Nitronex, a GaAs labs company and leading producer of GaN-on-silicon RF power devices, has selected Agilent to provide a complete GaN design flow that spans both device modeling and circuit simulation. The flow uses Agilent EEsof EDA's IC-CAP model extraction software and Advanced Design System (ADS) circuit and system simulator-both market-leading platforms in RF and microwave design.

Gallium nitride has emerged as a semiconductor material of choice for designing RF power devices, providing a formidable combination of high bandwidth, efficiency and power. In the case of Nitronex, whose GaN devices use silicon as a substrate, there is an added inherent cost advantage to its approach. Nonetheless, as with the development of any high-power device, designing for high levels of reliability, performance and yield requires investing in leading modeling and simulation technology.

"Agilent's software platforms offer a clear advantage for our design process," said David Runton, vice president of engineering at Nitronex. "The usability and simulation advancements of ADS, combined with its superior device models and IC-CAP model extraction software, puts us in the best position to offer top-quality GaN parts to our customers. And, because Agilent's tools offer a complete design flow, our design process will be more streamlined."

"We appreciate Nitronex's decision to transition to Agilent simulation and modeling tools for their future GaN designs," said Charles Plott, marketing manager with Agilent EEsof EDA. "What is particularly gratifying is the positive acknowledgement about our usability advancements. We have gotten uniformly positive feedback from companies as they reengineer their design flows with the latest nonlinear modeling technologies and simulator advancements."

ADS delivers a host of usability features to improve designer productivity and efficiency for all applications it supports, as well as capabilities specifically applicable to GaN design. Support for Agilent's newly introduced artificial neural network-based model (extracted by IC-CAP device modeling software), for example, enables much more accurate FET modeling and simulation results for high-power GaN FET amplifiers. Additionally, an electro-thermal simulator (based on a full 3-D thermal solver natively integrated into ADS) incorporates dynamic temperature effects to improve accuracy in "thermally aware" circuit simulation results.

IC-CAP features capabilities specifically geared toward high-frequency device modeling, including turnkey extraction of Agilent's neural networked-based model as well as the Angelov-GaN model. GaN models in particular need to be well suited to deal with the impact of trapping and thermal effects on the device electrical characteristics.

More information on ADS and IC-CAP is available at www.agilent.com/find/eesof-ads and www.agilent.com/find/eesof-iccap, respectively.

About Agilent EEsof EDA Software

Agilent EEsof EDA is the leading supplier of electronic design automation software for microwave, RF, high-frequency, high-speed digital, RF system, electronic system level, circuit, 3-D electromagnetic, physical design and device-modeling applications. More information is available at www.agilent.com/find/eesof.


About Agilent Technologies

Agilent Technologies Inc. (NYSE: A) is the world's premier measurement company and a technology leader in chemical analysis, life sciences, diagnostics, electronics and communications. The company's 20,600 employees serve customers in more than 100 countries. Agilent had revenues of $6.8 billion in fiscal 2013. Information about Agilent is available at www.agilent.com.

On Sept. 19, 2013, Agilent announced plans to separate into two publicly traded companies through a tax-free spinoff of its electronic measurement business. The new company is named Keysight Technologies, Inc. The separation is expected to be completed in early November 2014.

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