TriQuint Semiconductor

Modelithics high accuracy measurement-based models reliably track how component performance will change with various input parameters over a specified frequency range documented in a model information data sheet for each component. Modelithics non-linear equivalent circuit behavioral models for transistors and integrated circuits (RFICs and MMICs) are variously extracted from precision DC and pulsed IV data, capacitance, S-parameter and noise parameter measuremnts and validated against large signal load-pull data. The models also include features such as substrate, temperature and geometry scaling, and are typically validated over wide ranges of frequency, power and bias.

Shown on this page are models developed for specific Triquint products for the benefit of designers seeking improved simulation accuracy and more rapid design success.

The models listed below can be purchased individually or as part of the complete Modelithics Library.

Click for a Model Download Request of models for TriQuint Semiconductor components.

Vendor Part Number	Modelithics Part Number	Device Type	Body Style	Upr Validation Freq (GHz)	Example Data	Features
TGA2602-SM	HMT-TQT-TGA2602-SM	GaAs pHEMT	Surface Mount	6		NL, NP, LP
TGA8344-SCC	AMP-TRI-TGA8344-001	Amplifier	MMIC	18		NL, NP
TGA8399B-SCC	AMP-TRI-TGA8399B-001	Amplifier	MMIC	10		NL, NP, TS, IM
TGA8810-SCC	AMP-TRI-TGA8810-001	Amplifier	MMIC	10		NL, TS, IM
TGF2023-01	Available for Pre-Release	Gan on Sic HEMT
TGF2023-05	Available for Pre-Release	Gan on Sic HEMT
TGF2960-SD	HMT-TQT-TGF2960-SD	GaAs HFET	Surface Mount	6		NL, LP
TGF2961-SD	HMT-TQT-TGF2961-SD	GaAs HFET	Surface Mount	6		NL, LP

^{Legend
BB - Broad Band Capacitor      FL - Flicker Noise (1/F)      IM - 3rd order IMD validated      LP - Load Pull      NL - Non-Linear      NP - Noise Parameter      PD - Pad de-embedding
OS - Orientation Selettable     PS - Pad Scaling             SS - Substrate Scalable             TS - Temperature Scalable      VS - Part Value Scalable/Selectable      BW - Bondwire de-embedding}