122 research outputs found
Determination of transient thermal characteristics for thermal electric behavioral models of integrated circuits
In the current study, it was tried to describe a method for determining thermal characteristics of integrated micro-circuits to identify thermal parameters of multidisciplinary (thermal-electric) behavioral models. The problem is solved on the example of high-frequency pulse voltage converters. A solution was proposed to refine the minimum structure of the thermoelectric model based on an iterative least squares method using the Levenberg-Marquardt algorithm, as well as a graph of the spectral den-sity of time constants. This made it possible to reduce the influence of the filtering factor in the deconvolution operation when building a thermal model using the structural function of the thermal characteristic transition. Also, the results obtained can be used to build integrated circuits (IC) behavioral models, taking into account the thermal processes occurring in them
Automation of capacitance measurements for power semiconductor modules
This paper presents an overview of questions related to the increase in accuracy of measurements of capacitance parameters of power semiconductor modules when developing a device for automated measurements. The paper addresses the matters of circuit engineering of primary components, technical characteristics and software of a meter designed to automate the process of testing of capacitance parameters of power modules based on insulated gatebipolar transistors and fast recovery diodes. Unit testing results that prove the efficiency ofthe proposed method of the technical implementation are provided. Software implementation is described; ways to improve software-hardware solution are proposed. The paper is of value for developers and users of equipment for automated testing of electric parameters of semiconductor devices.Keywords: automated test equipment (ATE), capacitance parameters, IGBT, FRD, power semiconductor modules, MATLAB
Supramolecular nanoporous carbon materials based on the arrays of carbon nanotubes, ordered by cyclic hydrocarbons for methane and hydrogen storage
A LA-BTC MOF AS A SENSOR ELEMENT OF AN ELECTRONIC NOSE FOR SELECTIVE ADSORPTION OF BIOMARKERS OF DISEASES: MOLECULAR DYNAMICS SIMULATIONS OF ADSORPTION
<p>The MD trajectories calculated for all the La-BTC MOF-biomarker simulation systems </p>
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