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Fast Extraction of Per-Unit-Length Parameters of Hybrid Copper-Graphene Interconnects via Generalized Knowledge Based Machine Learning

Authors :
Rohit Sharma
Amir Attar
Suyash Kushwaha
Flavio Canavero
Sourajeet Roy
Riccardo Trinchero
Source :
2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS).
Publication Year :
2021
Publisher :
IEEE, 2021.

Subjects

Subjects :
Materials science
chemistry
Graphene
law
Extraction (chemistry)
chemistry.chemical_element
Unit (ring theory)
Copper
law.invention
Computational science

Details

Database :
OpenAIRE
Journal :
2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)
Accession number :
edsair.doi...........a87e25406d43e26cec78a684a4bf7a93
Full Text :
https://doi.org/10.1109/epeps51341.2021.9609233
Full Text Access
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