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公开(公告)号:US20210232745A1
公开(公告)日:2021-07-29
申请号:US17103772
申请日:2020-11-24
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: Chung-Pin CHOU , Chun-Wen WANG , Meng Ku CHI , Yan-Cheng CHEN , Jun-Xiu LIU
IPC: G06F30/367 , G06N20/00 , G06N5/04 , G06T7/00 , G06T7/70
Abstract: A semiconductor wafer defect detection system captures test images of a semiconductor wafer. The system analyzes the test images with an analysis model trained with a machine learning process. The analysis model generates simulated integrated circuit layouts based on the test images. The system detects defects in the semiconductor wafer by comparing the simulated integrated circuit layouts to reference integrated circuit layouts.
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公开(公告)号:US20230385502A1
公开(公告)日:2023-11-30
申请号:US18447170
申请日:2023-08-09
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: Chung-Pin CHOU , Chun-Wen WANG , Meng Ku CHI , Yan-Cheng CHEN , Jun-Xiu LIU
IPC: G06F30/367 , G06N20/00 , G06N5/04 , G06T7/70 , G06T7/00
CPC classification number: G06F30/367 , G06N20/00 , G06N5/04 , G06T7/70 , G06T7/001 , G06T2207/10061 , G06T2207/30148 , G06T2207/20081
Abstract: A semiconductor wafer defect detection system captures test images of a semiconductor wafer. The system analyzes the test images with an analysis model trained with a machine learning process. The analysis model generates simulated integrated circuit layouts based on the test images. The system detects defects in the semiconductor wafer by comparing the simulated integrated circuit layouts to reference integrated circuit layouts.
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公开(公告)号:US20220359154A1
公开(公告)日:2022-11-10
申请号:US17870654
申请日:2022-07-21
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: Chung-Pin CHOU , Sheng-Wen HUANG , Jun-Xiu LIU
IPC: H01J37/28 , H01J37/22 , G06N20/00 , H01J37/26 , H01J37/153
Abstract: This disclosure is directed to solutions of detecting and classifying wafer defects using machine learning techniques. The solutions take only one coarse resolution digital microscope image of a target wafer, and use machine learning techniques to process the coarse SEM image to review and classify a defect on the target wafer. Because only one coarse SEM image of the wafer is needed, the defect review and classification throughput and efficiency are improved. Further, the techniques are not distractive and may be integrated with other defect detecting and classification techniques.
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公开(公告)号:US20230384211A1
公开(公告)日:2023-11-30
申请号:US18361777
申请日:2023-07-28
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: Yu-Jen YANG , Chung-Pin CHOU , Yan-Cheng CHEN , Kai-Lin Chuang , Jun-Xiu Liu , Sheng-Ching Kao
CPC classification number: G01N21/05 , G01N21/9501 , G01N15/0211 , G01F1/663 , G01N2021/054 , G01N2015/1075
Abstract: A process tube device can detect the presence of any external materials that may reside within a fluid flowing in the tube. The process tube device detects the external materials in-situ which obviates the need for a separate inspection device to inspect the surface of a wafer after applying fluid on the surface of the wafer. The process tube device utilizes at least two methods of detecting the presence of external materials. The first is the direct measurement method in which a light detecting sensor is used. The second is the indirect measurement method in which a sensor utilizing the principles of Doppler shift is used. Here, contrary to the first method that at least partially used reflected or refracted light, the second method uses a Doppler shift sensor to detect the presence of the external material by measuring the velocity of the fluid flowing in the tube.
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公开(公告)号:US20210027984A1
公开(公告)日:2021-01-28
申请号:US17069712
申请日:2020-10-13
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: Chung-Pin CHOU , Sheng-Wen HUANG , Jun-Xiu LIU
IPC: H01J37/28 , H01J37/22 , G06N20/00 , H01J37/26 , H01J37/153
Abstract: This disclosure is directed to solutions of detecting and classifying wafer defects using machine learning techniques. The solutions take only one coarse resolution digital microscope image of a target wafer, and use machine learning techniques to process the coarse SEM image to review and classify a defect on the target wafer. Because only one coarse SEM image of the wafer is needed, the defect review and classification throughput and efficiency are improved. Further, the techniques are not distractive and may be integrated with other defect detecting and classification techniques.
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公开(公告)号:US20200334800A1
公开(公告)日:2020-10-22
申请号:US16388435
申请日:2019-04-18
Applicant: TAIWAN SEMICONDUCTOR MANUFACTURING CO., LTD.
Inventor: Chung-Pin CHOU , In-Tsang LIN , Sheng-Wen HUANG , Yu-Ting WANG , Jui-Kuo LAI , Hsin-Hui CHOU , Jun-Xiu LIU , Tien-Wen WANG
Abstract: A system includes an inspection device and an image processing unit. The inspection device is configured to scan a wafer to generate an inspected image. The image processing unit is configured to receive the inspected image, and is configured to analyze the inspected image by using at least one deep learning algorithm in order to determine whether there is any defect image shown in a region of interest in the inspected image. When there is at least one defect image shown in the region of interest in the inspected image, the inspection device is further configured to magnify the region of interest in the inspected image to generate a magnified inspected image for identification of defects.
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公开(公告)号:US20200105500A1
公开(公告)日:2020-04-02
申请号:US16430323
申请日:2019-06-03
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: Chung-Pin CHOU , Sheng-Wen HUANG
IPC: H01J37/28 , H01J37/22 , H01J37/153 , H01J37/26 , G06N20/00
Abstract: This disclosure is directed to solutions of detecting and classifying wafer defects using machine learning techniques. The solutions take only one coarse resolution digital microscope image of a target wafer, and use machine learning techniques to process the coarse SEM image to review and classify a defect on the target wafer. Because only one coarse SEM image of the wafer is needed, the defect review and classification throughput and efficiency are improved. Further, the techniques are not distractive and may be integrated with other defect detecting and classification techniques.
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公开(公告)号:US20230060183A1
公开(公告)日:2023-03-02
申请号:US17461715
申请日:2021-08-30
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: Yu-Jen YANG , Chung-Pin CHOU , Kai-Lin CHUANG , Yan-Cheng CHEN , Sheng-Ching KAO , Jun-Xiu LIU
Abstract: A process tube device can detect the presence of any external materials that may reside within a fluid flowing in the tube. The process tube device detects the external materials in-situ which obviates the need for a separate inspection device to inspect the surface of a wafer after applying fluid on the surface of the wafer. The process tube device utilizes at least two methods of detecting the presence of external materials. The first is the direct measurement method in which a light detecting sensor is used. The second is the indirect measurement method in which a sensor utilizing the principles of Doppler shift is used. Here, contrary to the first method that at least partially used reflected or refracted light, the second method uses a Doppler shift sensor to detect the presence of the external material by measuring the velocity of the fluid flowing in the tube.
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公开(公告)号:US20200264111A1
公开(公告)日:2020-08-20
申请号:US16278083
申请日:2019-02-16
Applicant: TAIWAN SEMICONDUCTOR MANUFACTURING CO., LTD.
Inventor: Chung-Pin CHOU , Yu-Liang TSENG
Abstract: A method includes generating a primary radiation beam from a radiation source; splitting the primary beam into a first radiation beam and a second radiation beam; directing the first radiation beam onto a front side of a wafer; directing the second radiation beam onto a back side of a wafer; generating an image of the front side of the wafer by receiving a reflection of the first radiation beam reflected from the wafer; and generating an image of the back side of the wafer by receiving a reflection of the second radiation beam reflected from the wafer.
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