Bayesian Learning for Uncertainty Quantification, Optimization, and Inverse Design
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Funder
National Science Foundation through the Center for Advanced Electronics through Machine Learning
Georgia Tech 3D Systems Packaging Research Center
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Radiation
Link
https://ieeexplore.ieee.org/ielam/22/9939118/9913070-aam.pdf
Reference58 articles.
1. A linear inverse space-mapping (LISM) algorithm to design linear and nonlinear RF and microwave circuits
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