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This paper presents a performance analysis of Power Delivery Networks (PDNs) with innovative carbon-based materials, such as carbon nanotubes and graphene nanoribbons. The electrical and thermal performances of such PDNs are described in terms of voltage drop and temperature rise, respectively. The performance analysis is carried out by efficiently solving an electrothermal model, where the electrical...
This work addresses the problem of building accurate and stable parametric macromodels for distributed electronic structures with propagation delays. First, reduced root macromodels are calculated by means of Delayed Vector Fitting technique at estimation points of the design space grid. Then, a suitable interpolation scheme for the delay trends and rational terms is proposed, preserving the model...
This paper presents an equivalent self-consistent electrothermal circuit model for power integrity analysis of large on-chip power distribution networks. Two coupled circuits are used to co-simulate the electrical and thermal behavior of the power grid. After a steady-state analysis, the order of the circuit is strongly reduced by means of a node clustering technique. The obtained low-order circuit...
This paper presents the electrothermal analysis of the performances of a Power Delivery Network for nanoscale integrated circuits, comparing standard (copper) with carbon nanotubes and graphene interconnects. Realistic carbon interconnects are considered, with the typical values of electrical and thermal parameters obtainable with the current fabrication technology. A temperature-dependent model for...
This paper presents a new technique to lower the computational cost of the electrothermal (ET) analysis of a large on-chip power distribution network. It is based on a node reduction strategy following a preliminary efficient steady-state solution of the ET problem. After a proper classification of nodes according to temperature and voltage drop ranges, a reduced network is then produced by means...
In this paper a novel time-domain identification procedure for passive RC multiport networks is introduced, based on convex optimization and allowing the straightforward enforcement of basic physical constraints, specifically tailored to thermal impedances. The identification is performed in two steps. First, the time constants are identified for each element of the thermal impedance matrix by means...
We present a parameterized macromodeling approach to perform fast and effective dynamic thermal simulations of electronic components and systems where key design parameters vary. A decomposition of the frequency-domain data samples of the thermal impedance matrix is proposed to improve the accuracy of the model and reduce the number of the computationally costly thermal simulations needed to build...
We consider the problem of accurate tracing of long magnetic field lines in tokamaks for the determination of scrape off layers and plasma boundaries. The problem of the accuracy of the numerical integration is tackled. Criteria for the specific problem are introduced and discussed. Standard ODE (Ordinary Differential Equation) integrators are considered and compared with a volume preserving algorithm,...
The applicability of classical macromodeling techniques to dynamic electrothermal analysis is reviewed, with emphasis on specific aspects of the Fourier heat conduction problem. Modeling based on the characterization of thermal multiports is considered, and the identification of corresponding thermal impedances in frequency and time domain is discussed, along with the synthesis of electrical equivalents...
Time domain identification of reduced dynamic thermal models is pursued with well established macromodeling techniques, providing electrical equivalents to be integrated in standard circuit simulators. Self and mutual thermal impedances of electronic structures, preliminarily evaluated through accurate 3-D FEM thermal simulations, are directly identified with Time Domain Vector Fitting and synthesised...
In this paper, a novel multi-port RC network is proposed to describe the dynamic thermal feedback in bipolar devices/circuits with multiple heat sources. The parameters of the circuit can be reliably identified by standard electrical macro-modeling techniques. The representation is shown to be more compact than the usual Foster topology due to the limited number of dynamic elements. The approach is...
We describe the realization of a new experimental setup for the analysis and characterization of complex networks of Chua's circuits. It is characterized by full configurability of the node's parameters and the network structure (topology and link impedances), and designed for easy scalability to high number of nodes. The set-up is automated in terms of control of the network and data acquisition...
This paper is concerned with the experimental validation of pinning controllability in networks of Chua's circuits. Firstly, the implementation of an appropriate setup to carry out experiments on networks of Chua's with settable topology is presented. Then, for the first time, the stability thresholds on coupling and control gains estimated through the Pinning Controllability approach are shown to...
Calibrated 3-D numerical simulations are employed to quantify the influence of design parameters like emitter area, aspect ratio, distance to trenches, and thickness of AlN heatspreaders on the thermal transient behavior of silicon-on-glass (SOG) bipolar transistors. A larger silicon island enclosed in the trenches reduces the thermal resistance at the expense of a slower thermal response of the system...
This paper deals with the identification of low-order accurate macromodels describing electrically long lossy multiconductor transmission lines. The formulation is based on the generalized method of characteristics, whose key feature is the extraction of delays from the propagation operators. We describe and compare different delay extraction approaches, in view of the identification of the macromodels...
At the german heavy ion accelerator facility GSI different types of plasma lenses have been developed and tested. The best results were achieved with a plasma lens utilizing a wall-stabilized discharge. This type of lens has proofen to work very efficient, stable, and reproducible. A wall-stabilized plasma lens has been extensively investigated at the GSI linear accelerator UNILAC with beam energies...
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