Gas Phase Nucleation Detection Using Machine Vision

LAM<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> Altus Tungsten chemical vapor deposition (WCVD) process needs to monitor gas phase nucleation (GPN) as one of process control parameters. Main factor causing GPN is the increased in silane (SiH<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf>) flow (relative to WF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</inf> flow), which create W<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>Si<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">y</inf> particles. The GPN, which occurs during production, will lead to tungsten void due to SiH4 burst in nucleation step. However, control for such critical parameters is still manually done by visual inspection on a weekly basis. Hence, the auto GPN detection has been implemented using image recognition that is able to reduce human error and misjudgment, which in turn prevent wafer scraps incidents.

Authors

Institutions

Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/asmc64512.2025.11010365
Primary Topic
nanoparticles nucleation surface interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gas Phase Nucleation Detection Using Machine Vision

Aaron Tan, Alton Y.K. Chua, Kong Bieng Chuah
nanoparticles nucleation surface interactions
article

Gas Phase Nucleation Detection Using Machine Vision

Aaron Tan, Alton Y.K. Chua, Kong Bieng Chuah
article en

Abstract

LAM<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> Altus Tungsten chemical vapor deposition (WCVD) process needs to monitor gas phase nucleation (GPN) as one of process control parameters. Main factor causing GPN is the increased in silane (SiH<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf>) flow (relative to WF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</inf> flow), which create W<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf>Si<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">y</inf> particles. The GPN, which occurs during production, will lead to tungsten void due to SiH4 burst in nucleation step. However, control for such critical parameters is still manually done by visual inspection on a weekly basis. Hence, the auto GPN detection has been implemented using image recognition that is able to reduce human error and misjudgment, which in turn prevent wafer scraps incidents.

GlobalFoundries (Singapore) (SG)
Affordable and clean energy
Openalex Percentile: Top 84%
nanoparticles nucleation surface interactions
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.