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Coupled simulations of both thermal and electrical processes are employed to perform reliable estimations of the harvesting capabilities of a novel thermoelectric generator concept based on the use of p- and n-type materials films of nanometric thickness separated by a dielectric layer. The doping and geometrical parameters of the device are optimized to maximize the thermoelectrical properties while...
Computer-aided design (CAD) simulation tools offer the advantage of integrating both thermal and electrical simulations facilitating the study of new materials and structures. In this work, we demonstrate the possibility of using conventional electron devices simulation tools to study the thermoelectrical properties of non-typical semiconductor materials, which allows to do predictive parametric analysis...
A 3D drift-diffusion device simulator with implemented density-gradient quantum corrections is developed to run hundreds of simulations to gather variability characteristics in non-planar transistors. We have included the line edge roughness (LER), random dopants (RD), and metal gate granularity (MGG) induced variabilities, which are considered to be the most important sources of variability in device...
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