publication . Other literature type . Article . 2018

Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits

Arun Kaintura; Tom Dhaene; Domenico Spina;
  • Published: 28 Feb 2018
  • Publisher: MDPI AG
  • Country: Belgium
Abstract
Advances in manufacturing process technology are key ensembles for the production of integrated circuits in the sub-micrometer region. It is of paramount importance to assess the effects of tolerances in the manufacturing process on the performance of modern integrated circuits. The polynomial chaos expansion has emerged as a suitable alternative to standard Monte Carlo-based methods that are accurate, but computationally cumbersome. This paper provides an overview of the most recent developments and challenges in the application of polynomial chaos-based techniques for uncertainty quantification in integrated circuits, with particular focus on high-dimensional ...
Subjects
free text keywords: STOCHASTIC DIFFERENTIAL-EQUATIONS, GAUSS QUADRATURE-RULES, PERIODIC, STEADY-STATE, TENSOR DECOMPOSITION, VARIABILITY ANALYSIS, LINEAR-REGRESSION, PROBABILITY-MEASURES, COLLOCATION METHODS, NONLINEAR, CIRCUITS, MULTIPORT SYSTEMS, integrated circuits, high, dimensionality, Engineering, business.industry, business, Curse of dimensionality, Stochastic differential equation, Polynomial chaos, Integrated circuit, law.invention, law, Control engineering, Uncertainty quantification, Nonlinear system, Electronic circuit, Monte Carlo method, high dimensionality, Electronics, TK7800-8360
Related Organizations
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publication . Other literature type . Article . 2018

Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits

Arun Kaintura; Tom Dhaene; Domenico Spina;