Virtual metrology in semiconductor manufacturing: Current status and future prospects

V Maitra, Y Su, J Shi - Expert Systems with Applications, 2024 - Elsevier
Abstract Advanced Process Control (APC) has become an increasingly pressing issue for
the semiconductor industry, particularly in the new era of sub-5nm process technology. To …

Virtual metrology for enabling zero-defect manufacturing: a review and prospects

Y Zhang, L Li, Q Yu - The International Journal of Advanced Manufacturing …, 2024 - Springer
The ultimate objective of “Zero-Defect Manufacturing,” as a new growth step of Industry 4.0,
is to significantly increase product yield and eventually accomplish zero-defect. For product …

1D ResNet for fault detection and classification on sensor data in semiconductor manufacturing

P Tchatchoua, G Graton, M Ouladsine… - 2022 International …, 2022 - ieeexplore.ieee.org
With much attention being placed on reducing manufacturing costs and improving
productivity, maintaining process tools in good operating conditions is one of the most …

A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset

GT Lee, OR Kwon - arxiv preprint arxiv:2407.06682, 2024 - arxiv.org
In the manufacturing process, sensor data collected from equipment is crucial for building
predictive models to manage processes and improve productivity. However, in the field, it is …

Virtual Metrology Modeling for Wafer Edges via Graph Attention Networks

J Joo, KW Yang, YJ Choi, B Min… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Quality monitoring is an essential element of defect detection in semiconductor
manufacturing processes, but semiconductor companies use virtual metrology (VM) in …

A Neural Network Approach to Analyze FDC Data in Semiconductor Manufacture

W Yu, X Chen, G Mao, Y Wang… - 2022 China …, 2022 - ieeexplore.ieee.org
Fault Detection and Classification (FDC) Data reflects machine real-time status that provide
information for diagnosing processing quality. In practice, most semiconductor engineers …

Virtual Measurement Combine OCD and FDC Through Optimized Random Forest Machine Learning Algorithm Assists on Post Etching Monitor

Q Yang, M Meng, A Zheng, P Lin… - 2024 Conference of …, 2024 - ieeexplore.ieee.org
Etching is an important process in semiconductor technology. Inconsistency in post Etching
wafer uniformity and geometry affects downstream process margin which leads to various …

On Updating a Virtual Metrology Model in Semiconductor Manufacturing via Transfer Learning

R Clain, I Azzizi, V Borodin… - 2022 33rd Annual SEMI …, 2022 - ieeexplore.ieee.org
Manufacturing processes are often subject to drifts over production cycles. This study
applies the paradigm of Transfer Learning (TL) to support the updating of a Virtual Metrology …