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

Autor:	Rohit Sharma, Amir Attar, Suyash Kushwaha, Flavio Canavero, Sourajeet Roy, Riccardo Trinchero
Rok vydání:	2021
Předmět:	Materials science chemistry Graphene law Extraction (chemistry) chemistry.chemical_element Unit (ring theory) Copper law.invention Computational science
Zdroj:	2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS).
DOI:	10.1109/epeps51341.2021.9609233
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a87e25406d43e26cec78a684a4bf7a93 https://doi.org/10.1109/epeps51341.2021.9609233 Zobrazit plný text záznamu