Page, Andrew, Cocchini, Matteo, Chen, Zhaoqing, and Chen, Xu. Realistic Stripline Corner Modeling Using Surrogate Model and Topographic Fitting. Retrieved from https://par.nsf.gov/biblio/10402064. 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) 2022. Web. doi:10.1109/EPEPS53828.2022.9947141.
Page, Andrew, Cocchini, Matteo, Chen, Zhaoqing, & Chen, Xu. Realistic Stripline Corner Modeling Using Surrogate Model and Topographic Fitting. 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI), 2022 (). Retrieved from https://par.nsf.gov/biblio/10402064. https://doi.org/10.1109/EPEPS53828.2022.9947141
Page, Andrew, Cocchini, Matteo, Chen, Zhaoqing, and Chen, Xu.
"Realistic Stripline Corner Modeling Using Surrogate Model and Topographic Fitting". 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) 2022 (). Country unknown/Code not available. https://doi.org/10.1109/EPEPS53828.2022.9947141.https://par.nsf.gov/biblio/10402064.
@article{osti_10402064,
place = {Country unknown/Code not available},
title = {Realistic Stripline Corner Modeling Using Surrogate Model and Topographic Fitting},
url = {https://par.nsf.gov/biblio/10402064},
DOI = {10.1109/EPEPS53828.2022.9947141},
abstractNote = {},
journal = {2022 IEEE 26th Workshop on Signal and Power Integrity (SPI)},
volume = {2022},
author = {Page, Andrew and Cocchini, Matteo and Chen, Zhaoqing and Chen, Xu},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.