Search Results - "ASMC proceedings"

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  1. 1

    Non-destructive acoustic metrology and void detection in 350 mu m TSV by Mair, R, Kotelyanskii, M, Mehendale, M, Ru, X, Mukundhan, P, Kryman, T, Liebens, M, Van Huylenbroeck, S, Haensel, L, Miller, A, Beyne, E, Murray, T

    Published in ASMC proceedings (01-05-2016)
    “…Through Silicon Via (TSV) technology represents one key aspect of 3D integration. International Technology Roadmap for Semiconductors (ITRS) has identified a…”
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    Journal Article
  2. 2

    Deep reinforcement learning for semiconductor production scheduling by Waschneck, Bernd, Reichstaller, Andre, Belzner, Lenz, Altenmuller, Thomas, Bauernhansl, Thomas, Knapp, Alexander, Kyek, Andreas

    “…Despite producing tremendous success stories by identifying cat videos [1] or solving computer as well as board games [2], [3], the adoption of deep learning…”
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    Conference Proceeding
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    ScCO2 Drying for Preventing Pattern Collapse in Advanced Logic Device Structures by Sankarapandian, M., Lo, Wei-Shang, Ramirez, Alma Vela, Flores, Nash, Liu, Xuan, Yamanaka, Reijiro, Inoue, Saya, Shimomura, Shinichiro, Iwanaga, Koji

    “…Supercritical CO 2 (ScCO 2 ) drying has been demonstrated to prevent pattern collapse causing Line Flop-over (LF) during post gate reactive ion etching (RIE)…”
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    Conference Proceeding
  4. 4

    Optimization of O2 Plasma After Silicon Etch Process to Prevent Br-Induced Equipment Corrosion and Pattern Abnormality by Kang, Junseok, Yang, Ki Dong, Sinn, Soobin, Gim, Gyuwon, Park, Hanbit, Hwang, Wookyoung, Han, Eunyoung, Kim, Young Jeong, Kim, Joong Jung

    “…Although hydrogen bromide (HBr) is an effective silicon etchant for patterning, it also generates SiBrx as a contaminant that causes equipment corrosion in the…”
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    Conference Proceeding
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    Generative Adversarial Networks for Synthetic Defect Generation in Assembly and Test Manufacturing by Singh, Rajhans, Garg, Ravi, Patel, Nital S., Braun, Martin W.

    “…Defect detection and classification is a critical step in any semiconductor manufacturing process. Most of the time it involves manual creation of defects…”
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    Conference Proceeding
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    A Deep Learning Model for Identification of Defect Patterns in Semiconductor Wafer Map by Yuan-Fu, Yang

    “…The semiconductors are used as various precision components in many electronic products. Each layer must be inspected of defect after drawing and baking the…”
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    Conference Proceeding
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    Feedback Control in Station Dispatching to Improve Constraint Tool Output in 300mm Fabs by Krishna, Murali, Kalmus, Michael, Madson, Robert A, Mert, Arca, Mosgrove, David J, Trimeloni, Akanksha T, Merrill, Christopher J, Zhao, Zhili L

    “…We present a novel feedback control system which influences wafer Lot prioritization over multiple non-constraint steps leading to a constraint toolset,…”
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    Conference Proceeding
  9. 9

    Wafer Substrate Bevel Significance to Edge Yield Performance by Ma, Shuli, Ng, Belinda, Min Hou, Teo

    “…In the realm of semiconductor technology, the pursuit of higher wafer yield has driven researchers to focus on optimizing wafer edge performance. This paper…”
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    Conference Proceeding
  10. 10

    Optimization of Scatterometry Measurements by Enhancing with Machine Learning AM: Advanced Metrology by Srichandan, Sasmita, Heider, Franz, Ehrentraut, Georg, Lilje, Stephan, Putzi, Christian, Radosavljevic, Sanja, Sakalauskas, Egidijus

    “…In this study, we introduce a machine learning approach designed to augment the conventional Rigorous Coupled-Wave Analysis (RCWA) method used in scatterometry…”
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    Conference Proceeding
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    Fault Detection of Wafer Sensors Based on Representation Learning and Isolation Forest by Qiu, Haixiang, Jiang, Hui

    “…Wafer manufacturing is a complex process involving hundreds of process steps. Detecting and identifying potential anomalies and malfunctions in sensor…”
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    Conference Proceeding
  13. 13

    Advanced Metrology of Thick Silicon Nitride Films at 300 mm Scale for Next Generation High-Q Photonic Devices by Kar, Soumen, Gangi, Nicholas W., Morgan, Katrina A., Carpenter, Lewis G., Fahrenkopf, Nicholas M., Baiocco, Christopher V.

    “…The proposed paper will present various inline and offline advanced metrology data of thick SiN films (~>500 nm) prepared by plasma-enhanced chemical vapor…”
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    Conference Proceeding
  14. 14

    Solution for Pond Shape Defect Near Wafer Edge by Koe, Mei Yen, Zhou, Juncheng, Xavier, Vinod

    “…Defect reduction is one of the key factors to improve the process stability and yield in lithography process. This paper discusses defects in pond shape around…”
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    Conference Proceeding
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    Process and Tool Monitoring Strategy for Advanced Magnetic Tunnel Junction Stack Deposition by Rodriguez, Gabriel, Van Der Straten, Oscar, Mehta, Virat, Slaughter, J. M., Kaiser, Christian, Huang, Chien-Fu, Frye, Dan, Carr, Ryan

    “…This paper will present the method by which a magnetron physical vapor deposition (PVD) tool is monitored and controlled for purposes of depositing a Magnetic…”
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    Conference Proceeding
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    Reliable Cu Pillar Undercut Control Using the Endpoint Detection System by Gardner, Zachary, Seo, Soon-Cheon, Khor, Pijeng, Waskiewicz, Chris, Sankarapandian, M., Perfecto, Eric, Pillai, Karthik, Demarest, James

    “…This paper addresses the key challenges of copper (Cu) undercut control using the end point detection (EPD) system based on the Applied Materials Raider tool…”
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    Conference Proceeding
  18. 18

    Semiconductor Manufacturing Data Synthesis through GANs by Tse, Brian, Wright, Tori, Nsiye, Emmanuel, Azinord, Timothy, Medina, David, Mondesire, Sean

    “…This paper introduces a novel application of Generative Adversarial Networks (GANs) in the creation of a digital twin of a semiconductor manufacturing plant,…”
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    Conference Proceeding
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    Reduction of Stiction Using Different Surface Treatment Methods on Elastomers and Their Longevity Studies by Khosrawi, Maike, Dunn, Thomas, Brielmann, Renate, Durn, Feyzan, Gulcur, Murat

    “…This study evaluated the effectiveness of Seal-Glide® surface treatments in reducing stiction of fluoroelastomer (FKM) and perfluoroelastomer (FFKM) O-rings to…”
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    Conference Proceeding
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    Study of Wafer Arcing Defects on PECVD Low Deposition Rate TEOS Oxide Thin Film by Wang, Minrui, Low, Irene, Lee, YB, Schmitt, Joseph

    “…In this study, we have investigated wafer arcing defects on low deposition rate oxide thin film using tetraethyl-orthosilicate (TEOS) by Plasma Enhanced…”
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    Conference Proceeding