Evidence map›Paper›PMID 34683239›Full record

ArticleMicromachines2021

Nanoscale-Precision Removal of Copper in Integrated Circuits Based on a Hybrid Process of Plasma Oxidation and Femtosecond Laser Ablation.

Shuai Wang, Yaoyu Wang, Shizhuo Zhang, Lingfeng Wang, Shuai Chen, Huai Zheng, Chen Zhang, Sheng Liu, Gary J Cheng, Feng Liu

Abstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shuai WangInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Yaoyu WangInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Shizhuo ZhangInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Lingfeng WangInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Shuai ChenInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Huai ZhengSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Chen ZhangInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Sheng LiuInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.
Gary J ChengSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA.
Feng LiuInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-3301-7613

Funding

National Key Research and Development Program of China 2018YFB1107700
6 · The paper itself

Abstract

Copper (Cu) is the main interconnect conductor for integrated circuits (IC), and its processing quality is very important to device performance. Herein, a hybrid process of plasma oxidation and femtosecond laser (fs-laser) ablation was proposed for the nanoscale precision removal of Cu in integrated circuits. In this hybrid process, the surface layer of Cu was oxidized to the copper oxide by plasma oxidation, and then the fs-laser with a laser fluence lower than the Cu ablation threshold was used to remove the copper oxide without damaging the underlying Cu. Theoretically, the surface temperature evolutions of Cu and copper oxide under the femtosecond laser were studied by the two-temperature model, and it was revealed that the ablation threshold of copper oxide is much lower than that of Cu. The experimental results showed that the ablation threshold of copper oxide is lower than that of Cu, which is consistent with the theoretical analysis. Using the hybrid process, a surface roughness of 3 nm and a removal accuracy of 4 nm were obtained in the process of Cu film processing, which were better than those obtained by fs-laser ablation. This demonstrated that the hybrid process has good application potential in the field of copper micromachining.

Indexed as

Cu removalfemtosecond laser ablationnmplasma oxidationroughness

Identifiers

PMID34683239
PMCPMC8537610

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.