Multi-device Optimization for Scalable Linear HEMT Model
Yu Zhu, Cejun Wei, Jerod Mason, and Dylan Bartle
A novel approach for extracting scalable linear hemt model is proposed. scaling rules with unknown coefficients are assumed for each model parameter, which correlated model parameters among different devices. Scalable model can thus be extracted by a multi-device optimization. It is demonstrated with the optimization on nine devices that our approach yields accurate scaling rules for each parameter and very good fitting for each device.
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