Via resistance optimization at advanced sub-2nm nodes

In this work, via resistance of Ru versus Cu at a 22nm metal pitch (MP) was explored and benchmarked using semi damascene (SD) and dual damascene (DD) patterning schemes. Via resistance variability was analyzed and compared using multiple process options during process modeling. The impact of process variations and patterning sensitivities on via resistance was also investigated. This process sensitivity simulation allowed us to identify the lowest via resistance options for sub-2nm technology nodes.

Authors

Institutions

Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/iitc66087.2025.11075464
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Via resistance optimization at advanced sub-2nm nodes

Giulio Marti, Assawer Soussou, Zsolt Tökei, Benjamin Vincent et al.
Chromosomal and Genetic Variations
article

Via resistance optimization at advanced sub-2nm nodes

Giulio Marti, Assawer Soussou, Zsolt Tökei, Benjamin Vincent, S. Park
article en

Abstract

In this work, via resistance of Ru versus Cu at a 22nm metal pitch (MP) was explored and benchmarked using semi damascene (SD) and dual damascene (DD) patterning schemes. Via resistance variability was analyzed and compared using multiple process options during process modeling. The impact of process variations and patterning sensitivities on via resistance was also investigated. This process sensitivity simulation allowed us to identify the lowest via resistance options for sub-2nm technology nodes.

IMEC (BE), Lam Research (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 85%
Chromosomal and Genetic Variations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.