EM-CAD for complex electronics systems: A journey from order to chaos

Zhen Peng, Shen Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present recent progress in the first-principles modeling and quantitative statistical analysis of complex electronics systems. The scientific contributions are twofold: (i) high-performance and scalable algorithms to conquer the computational complexity of extreme-scale simulations on massively parallel computing platforms; (ii) hybrid deterministic and stochastic formulations for the statistical characterization of the in-situ performance and system behavior. The work overcomes some key challenges in the in-situ verification of complex electronic systems in realistic circumstances, and significantly advance electromagnetic- A nd multiphysics-based computer-aided design (EM-CAD) for IC, electronics and microwave applications.

Original languageEnglish (US)
Title of host publication2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-63
Number of pages3
ISBN (Electronic)9781509048373
DOIs
StatePublished - Jun 29 2017
Externally publishedYes
Event2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017 - Seville, Spain
Duration: May 17 2017May 19 2017

Publication series

Name2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017

Conference

Conference2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017
Country/TerritorySpain
CitySeville
Period5/17/175/19/17

ASJC Scopus subject areas

  • Radiation
  • Control and Optimization
  • Instrumentation
  • Modeling and Simulation
  • Computer Networks and Communications

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