Soft metrology based on machine learning: a review

M Vallejo, C De La Espriella… - Measurement …, 2019 - iopscience.iop.org
Soft metrology has been defined as a set of measurement techniques and models that allow
the objective quantification of properties usually determined by human perception such as …

Plasma information-based virtual metrology (PI-VM) and mass production process control

S Park, J Seong, Y Jang, HJ Roh, JW Kwon… - Journal of the Korean …, 2022 - Springer
In this paper, we review the development of plasma engineering technology that improves
dramatically the production efficiency of OLED (organic light-emitting diode) displays and …

A deep convolutional autoencoder-based approach for anomaly detection with industrial, non-images, 2-dimensional data: A semiconductor manufacturing case study

M Maggipinto, A Beghi, GA Susto - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In manufacturing industries, it is of fundamental importance to detect anomalies in
production in order to meet the required quality goals and to limit the number of defective …

Use of plasma information in machine-learning-based fault detection and classification for advanced equipment control

DH Kim, SJ Hong - IEEE Transactions on Semiconductor …, 2021 - ieeexplore.ieee.org
For advanced equipment control, two schemata of real-time fault detection were performed
using machine learning algorithms in silicon etching in SF 6/O 2/Ar plasma. Fault detection …

Development of Virtual Metrology Using Plasma Information Variables to Predict Si Etch Profile Processed by SF6/O2/Ar Capacitively Coupled Plasma

JW Kwon, S Ryu, J Park, H Lee, Y Jang, S Park… - Materials, 2021 - mdpi.com
In the semiconductor etch process, as the critical dimension (CD) decreases and the
difficulty of the process control increases, in-situ and real-time etch profile monitoring …

Product-to-product virtual metrology of color filter processes in panel industry

SKS Fan, XW Chang, YY Lin - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The current thin film transistor liquid crystal display (TFT-LCD) panel industry evolves in
transition from volume production to customized production service as a major competition …

Machine learning based CVD virtual metrology in mass produced semiconductor process

Y Xie, R Stearrett - arXiv preprint arXiv:2107.05071, 2021 - arxiv.org
A cross-benchmark has been done on three critical aspects, data imputing, feature selection
and regression algorithms, for machine learning based chemical vapor deposition (CVD) …

Investigation of ion-induced etch damages on trench surface of Ge2Sb2Te5 in high density Ar/SF6 plasma

J Song, M Lee, S Ryu, Y Jang, S Park, GH Kim - Current Applied Physics, 2023 - Elsevier
Ion-induced etch damage on trench surfaces of Ge 2 Sb 2 Te 5 (GST) by reactive ion etching
(RIE) is investigated with Ar/SF 6 capacitively coupled plasma (CCP). Etch damage on the …

Computational characterization of microwave planar cutoff probes for non-invasive electron density measurement in low-temperature plasma: Ring-and bar-type cutoff …

SJ Kim, JJ Lee, YS Lee, HJ Yeom, HC Lee, JH Kim… - Applied Sciences, 2020 - mdpi.com
The microwave planar cutoff probe, recently proposed by Kim et al. is designed to measure
the cutoff frequency in a transmission (S21) spectrum. For real-time electron density …

A hierarchical model-based method for wafer level virtual metrology under process information deficiency

YJ Liu, D Ni, X Shao, DL Gong, JJ Li - Quality Engineering, 2024 - Taylor & Francis
Online inspection is one of the most critical processes of quality control in semiconductor
manufacturing. The physical inspection methods for wafers are time-consuming and unable …