Equivalent Circuit Modeling
In the last sixteen years, our research group has worked on various aspects of device modeling and design other than a few interdisciplinary research. The modeling research evolved mostly around developing equivalent circuits for various microelectronic devices under different operating conditions including DC, RF, transient and noise. Although most of the research involved handing the equations related to electrical operation, the crux of the work has been to construct the equivalent circuit network to solve a certain set of differential equations. Since following the network theory, the circuit simulators solve the underlying problems by ensuring the conservation of flow and energy while emulating certain operations, we were motivated to explore the possibility of applying this technique towards solving diverse phenomena in different energy domains including electricity, heat, light and even the flow of fluids.
This work involves compact model development for different microelectronic devices such as GaN HEMT, SiGe HBTs, LDMOS FETs, on-chip inductor, RRAM, PCM etc. The work includes the prediction of the device behavior using equivalent circuits while the energy exchange happens between electrical and thermal domains. The present focus is on developing improved models for different physical effects such as traps, self heating, breakdown phenomena, reliability, contact behavior etc. in various kinds of GaN HEMTs useful for RF as well as high power applications. To be precise, our research group wants to understand and predict the local phenomena and improve the physics content of the overall model.
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This research involves the modeling of certain operations while energy exchanges happen between electricity, light and heat. This work is particularly interesting since we are engaged in developing equivalent circuit models for each photonic device needed to design a complete photonic integrated circuit (PIC). Such research has long-standing effects since this will enable the use of matured SPICE simulation tools for designing PICs. Especially for developing quantum simulators on PIC, such models will be playing crucial roles.
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Among different available models of the brain, oscillatory neural networks (ONN) appear attractive. Our group initiated research work towards developing equivalent circuit models for various nonlinear oscillatory behavior capable of learning the input signals and subsequently storing the information in the form of frequency and/or phase of the oscillators. In due course of time, we target to model various biological phenomena using SPICE simulators with the help of equivalent circuit models. Essentially we wish to capture the complicated energy exchanges within the brain involving electrical, thermal and chemical processes leading to the understanding of the overall biological activities.
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