Postiglione, William M.; Ganguly, Koustav; Yun, Hwanhui; Jeong, Jong Seok; Jacobson, Andrew; Borgeson, Lindsey; Jalan, Bharat; Mkhoyan, K. Andre; Leighton, Chris
(, Physical Review Materials)
Banerji, Sourangsu, Majumder, Apratim, Hamrick, Alexander, Menon, Rajesh, and Sensale-Rodriguez, Berardi. Machine learning enables design of on-chip integrated silicon T-junctions with footprint of 1.2 μ m ×1.2μ m. Retrieved from https://par.nsf.gov/biblio/10175545. Nano Communication Networks 25.C Web. doi:10.1016/j.nancom.2020.100312.
Banerji, Sourangsu, Majumder, Apratim, Hamrick, Alexander, Menon, Rajesh, and Sensale-Rodriguez, Berardi.
"Machine learning enables design of on-chip integrated silicon T-junctions with footprint of 1.2 μ m ×1.2μ m". Nano Communication Networks 25 (C). Country unknown/Code not available. https://doi.org/10.1016/j.nancom.2020.100312.https://par.nsf.gov/biblio/10175545.
@article{osti_10175545,
place = {Country unknown/Code not available},
title = {Machine learning enables design of on-chip integrated silicon T-junctions with footprint of 1.2 μ m ×1.2μ m},
url = {https://par.nsf.gov/biblio/10175545},
DOI = {10.1016/j.nancom.2020.100312},
abstractNote = {},
journal = {Nano Communication Networks},
volume = {25},
number = {C},
author = {Banerji, Sourangsu and Majumder, Apratim and Hamrick, Alexander and Menon, Rajesh and Sensale-Rodriguez, Berardi},
}
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