LATENT SPACE SYNCHRONIZATION OF MACHINE LEARNING MODELS FOR IN-DEVICE METROLOGY INFERENCE

    公开(公告)号:US20250060679A1

    公开(公告)日:2025-02-20

    申请号:US18701570

    申请日:2022-10-17

    Abstract: Autoencoder models may be used in the field of lithography to estimate, infer or predict a parameter of interest (e.g., metrology metrics). An autoencoder model is trained to predict a parameter by training it with measurement data (e.g., pupil images) of a substrate obtained from a measurement tool (e.g., optical metrology tool). Disclosed are methods and systems for synchronizing two or more autoencoder models for in-device metrology. Synchronizing two autoencoder models may configure the encoders of both autoencoder models to map from different signal spaces (e.g., measurement data obtained from different machines) to the same latent space, and the decoders to map from the same latent space to each autoencoder's respective signal space. Synchronizing may be performed for various purposes, including matching a measurement performance of one tool with another tool, and configuring a model to adapt to measurement process changes (e.g., changes in characteristics of the tool) over time.

    Target supply control apparatus and method in an extreme ultraviolet light source

    公开(公告)号:US12232244B2

    公开(公告)日:2025-02-18

    申请号:US17428814

    申请日:2020-02-07

    Abstract: A target apparatus (300) for an extreme ultraviolet (EUV) light source includes a target generator, a sensor module (130), and a target generator controller (325). The target generator includes a reservoir (115) configured to contain target material (114) that produces EUV light in a plasma state and a nozzle structure (117) in fluid communication with the reservoir. The target generator defines an opening (119) in the nozzle structure through which the target material received from the reservoir is released. The sensor module is configured to: detect an aspect relating to target material released from the opening as the target material travels along a trajectory toward a target space (112), and produce a one-dimensional signal from the detected aspect. The target generator controller is in communication with the sensor module and the target generator, and is configured to modify characteristics of the target material based on an analysis of the one-dimensional signal.

    Fully automated SEM sampling system for e-beam image enhancement

    公开(公告)号:US12230013B2

    公开(公告)日:2025-02-18

    申请号:US18365134

    申请日:2023-08-03

    Abstract: Disclosed herein is a method of automatically obtaining training images to train a machine learning model that improves image quality. The method may comprise analyzing a plurality of patterns of data relating to a layout of a product to identify a plurality of training locations on a sample of the product to use in relation to training the machine learning model. The method may comprise obtaining a first image having a first quality for each of the plurality of training locations, and obtaining a second image having a second quality for each of the plurality of training locations, the second quality being higher than the first quality. The method may comprise using the first image and the second image to train the machine learning model.

    METHOD AND APPARATUS TO DETERMINE OVERLAY

    公开(公告)号:US20250044709A1

    公开(公告)日:2025-02-06

    申请号:US18718306

    申请日:2022-11-22

    Abstract: Systems, methods, and media for determining a processing parameter associated with a lithography process. In some embodiments, image data of features on a substrate may be obtained, and the image data may be analyzed in Fourier space. Based on the analysis, an amplitude and a phase may be determined, and an overlay of the features may be determined based on the amplitude and the phase.

    CHARGED PARTICLE BEAM APPARATUS WITH MULTIPLE DETECTORS AND METHODS FOR IMAGING

    公开(公告)号:US20250037967A1

    公开(公告)日:2025-01-30

    申请号:US18911806

    申请日:2024-10-10

    Abstract: Systems and methods of imaging a sample using a charged-particle beam apparatus are disclosed. The charged-particle beam apparatus may include a compound objective lens comprising a magnetic lens and an electrostatic lens, the magnetic lens comprising a cavity, and an electron detector located immediately upstream from a polepiece of the magnetic lens and inside the cavity of the magnetic lens. In some embodiments, deflectors may be located between the electron detector and the opening of the polepiece adjacent to the sample to achieve a large field of view. Electron distributions among the detectors can be manipulated without changing the landing energy by changing the potential of the control electrode(s) in the electrostatic objective lens. The electron source can be operated with several discrete potentials to cover different landing energies, while the potential difference between electron source and the extractor is fixed.

    Actuator assemblies comprising piezo actuators or electrostrictive actuators

    公开(公告)号:US12210294B2

    公开(公告)日:2025-01-28

    申请号:US17608760

    申请日:2020-05-12

    Abstract: An actuator assembly including a first piezo actuator and a second piezo actuator. The piezo actuator has a correction unit configured to determine an output voltage difference representing a difference between a voltage at the output terminal of the first piezo actuator and a voltage at the output terminal of the second piezo actuator, and a first power correction for correcting the first power signal and/or a second power correction for correcting the second power signal, based on the output voltage difference.

    Apparatus and method for process-window characterization

    公开(公告)号:US12197134B2

    公开(公告)日:2025-01-14

    申请号:US18090750

    申请日:2022-12-29

    Abstract: A process of characterizing a process window of a patterning process, the process including: obtaining a set of inspection locations for a pattern, the pattern defining features to be applied to a substrate with a patterning process, the set of inspection locations corresponding to a set of the features, the set of features being selected from among the features according to sensitivity of the respective features to variation in one or more process characteristics of the patterning process; patterning one or more substrates under varying process characteristics of the patterning process; and determining, for each of the variations in the process characteristics, whether at least some of the set of features yielded unacceptable patterned structures on the one or more substrates at corresponding inspection locations.

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