Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models

High-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and spac...

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Autor principal: Piotr Kurgan
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/f10d2a3525b346539d5f5c4e077b9b7a
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spelling oai:doaj.org-article:f10d2a3525b346539d5f5c4e077b9b7a2021-11-25T18:23:15ZEfficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models10.3390/mi121113412072-666Xhttps://doaj.org/article/f10d2a3525b346539d5f5c4e077b9b7a2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1341https://doaj.org/toc/2072-666XHigh-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and space mapping technology. The reported method is useful for the development of broadband and highly accurate data-driven models of integrated inductors within a practical timeframe, especially in terms of the computational expense of training data acquisition. Application of the constructed surrogate model for rapid design optimization of a compact on-chip inductor is demonstrated. The optimized EM-validated design solution can be reached at a low computational cost, which is a considerable improvement over existing approaches. In addition, this work provides a description and illustrates the usefulness of a multi-fidelity design optimization method incorporating EM computational models of graduated complexity and local polynomial approximations managed by an output space mapping optimization framework. As shown by the application example, the final design solution is obtained at the cost of a few high-fidelity EM simulations of a small-size integrated coil. A supplementary description of variable-fidelity EM computational models and a trade-off between model accuracy and its processing time complements the work.Piotr KurganMDPI AGarticleintegrated inductorselectromagnetic simulationsurrogate modelingdesign optimizationsimulation-driven designspace mappingMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1341, p 1341 (2021)
institution DOAJ
collection DOAJ
language EN
topic integrated inductors
electromagnetic simulation
surrogate modeling
design optimization
simulation-driven design
space mapping
Mechanical engineering and machinery
TJ1-1570
spellingShingle integrated inductors
electromagnetic simulation
surrogate modeling
design optimization
simulation-driven design
space mapping
Mechanical engineering and machinery
TJ1-1570
Piotr Kurgan
Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
description High-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and space mapping technology. The reported method is useful for the development of broadband and highly accurate data-driven models of integrated inductors within a practical timeframe, especially in terms of the computational expense of training data acquisition. Application of the constructed surrogate model for rapid design optimization of a compact on-chip inductor is demonstrated. The optimized EM-validated design solution can be reached at a low computational cost, which is a considerable improvement over existing approaches. In addition, this work provides a description and illustrates the usefulness of a multi-fidelity design optimization method incorporating EM computational models of graduated complexity and local polynomial approximations managed by an output space mapping optimization framework. As shown by the application example, the final design solution is obtained at the cost of a few high-fidelity EM simulations of a small-size integrated coil. A supplementary description of variable-fidelity EM computational models and a trade-off between model accuracy and its processing time complements the work.
format article
author Piotr Kurgan
author_facet Piotr Kurgan
author_sort Piotr Kurgan
title Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
title_short Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
title_full Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
title_fullStr Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
title_full_unstemmed Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
title_sort efficient surrogate modeling and design optimization of compact integrated on-chip inductors based on multi-fidelity em simulation models
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/f10d2a3525b346539d5f5c4e077b9b7a
work_keys_str_mv AT piotrkurgan efficientsurrogatemodelinganddesignoptimizationofcompactintegratedonchipinductorsbasedonmultifidelityemsimulationmodels
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