Potential design limitations can be identified and resolved before prototypes get to the temperature chamber. Modelithics models accurately simulate transistor performance at ambient temperature extremes, including self-heating effects. As a result, design trade-offs at the circuit and system level can be efficiently addressed, and the designs finalized much more quickly than before.Ĭarefully engineered transistor circuits are designed to reliably meet performance specifications over a range of environmental conditions. Bias-dependent 1/f and noise parameter predictions enable rapid optimization of gain, match and noise performance.

Modelithics low-power transistor models include accurate, measurement-validated noise simulation capability. The models are valid over a continuous range of substrate thicknesses and dielectric constants, bounded only by the H/Er range of the fixtures used during model measurements. Where applicable, substrate-scalable models are generated from mulitple sets of measurements, made with parts mounted on several fixtures using a variety of PCB materials, or multi-layer board thicknesses.

Many of Modelithics transistor models incorporate advanced features that fully account for substrate-related effects. High-power or low-noise amplifiers, oscillators - all the latest designs - can now be simulated with greater confidence than ever before. The equivalent circuit models have been extracted from precision DV-IV, S-Parameter, gain, and noise measurements under various bias conditions across the given frequency range. These reliable, measurement-based models maximize the RF/MW electronic design automation (EDA) process, reduce design cycle times, and lower product development cost. The Modelithics NLT Non-Linear Transistor Library™ contains the industry's most advanced simulation models for transistors. Modelithics NLT Library - Version 3.0 Release Notes Modelithics Transistor Modeling Technology RF Electronic Engineer – Component Modeling MODELITHICS IS NOW HIRING FOR THE FOLLOWING POSITIONS:

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