G03F7/70516

Method of calibrating a plurality of metrology apparatuses, method of determining a parameter of interest, and metrology apparatus

Methods for calibrating metrology apparatuses and determining a parameter of interest are disclosed. In one arrangement, training data is provided that comprises detected representations of scattered radiation detected by each of plural metrology apparatuses. An encoder encodes each detected representation to provide an encoded representation, and a decoder generates a synthetic detected representation from the respective encoded representation. A classifier estimates from which metrology apparatus originates each encoded representation or each synthetic detected representation. The training data is used to simultaneously perform, in an adversarial relationship relative to each other, a first machine learning process involving the encoder or decoder and a second machine learning process involving the classifier.

Method of etch model calibration using optical scatterometry

Computer-implemented methods of optimizing a process simulation model that predicts a result of a semiconductor device fabrication operation to process parameter values characterizing the semiconductor device fabrication operation are disclosed. The methods involve generating cost values using a computationally predicted result of the semiconductor device fabrication operation and a metrology result produced, at least in part, by performing the semiconductor device fabrication operation in a reaction chamber operating under a set of fixed process parameter values. The determination of the parameters of the process simulation model may employ pre-process profiles, via optimization of the resultant post-process profiles of the parameters against profile metrology results. Cost values for, e.g., optical scatterometry, scanning electron microscopy and transmission electron microscopy may be used to guide optimization.

Method of Determining the Initial Contact Point for Partial Fields and Method of Shaping a Surface
20230014261 · 2023-01-19 ·

A system and method for shaping a film on a partial field including determining an initial contact point. Receiving information about: a partial field of a substrate; and an edge of a patternable area of the substrate. Determining a chord that connects intersection vertices of the partial field and the edge. Determining coordinates of a bisecting line, wherein the bisecting line bisects the chord, and the bisecting line is orthogonal to the chord. Determining an initial contact point range on the bisecting line in which a template and formable material on the substrate contact each other. Contacting the formable material in the partial field on the substrate with the template at an initial contact point within the initial contact point range.

SELF-CALIBRATING OVERLAY METROLOGY

A self-calibrating overlay metrology system may receive device overlay data for a device targets on a sample from an overlay metrology tool, determine preliminary device overlay measurements for the device targets including device-scale features using an overlay recipe with the device overlay data as inputs, receive assist overlay data for one or more assist targets on the sample including device-scale features from the overlay metrology tool, where at least one of the one or more assist targets has a programmed overlay offset of a selected value along a particular measurement direction, determine self-calibrating assist overlay measurements for the one or more assist targets based on the assist overlay data, where the self-calibrating assist overlay measurements are linearly proportional to overlay on the sample, and generate corrected overlay measurements for the device targets by adjusting the preliminary device overlay measurements based on the self-calibrating assist overlay measurements.

Methods and systems for overlay measurement based on soft X-ray Scatterometry

Methods and systems for performing overlay and edge placement errors based on Soft X-Ray (SXR) scatterometry measurement data are presented herein. Short wavelength SXR radiation focused over a small illumination spot size enables measurement of design rule targets or in-die active device structures. In some embodiments, SXR scatterometry measurements are performed with SXR radiation having energy in a range from 10 to 5,000 electronvolts. As a result, measurements at SXR wavelengths permit target design at process design rules that closely represents actual device overlay. In some embodiments, SXR scatterometry measurements of overlay and shape parameters are performed simultaneously from the same metrology target to enable accurate measurement of Edge Placement Errors. In another aspect, overlay of aperiodic device structures is estimated based on SXR measurements of design rule targets by calibrating the SXR measurements to reference measurements of the actual device target.

Stage Apparatus and Electron Beam Lithography System
20220413396 · 2022-12-29 ·

A stage apparatus includes a surface plate as well as a guide shaft fixedly secured to the surface plate, a drive member moving along the guide shaft, and a hydrostatic fluid bearing that forms fluid films in the gap portion between the guide shaft and the drive member. The apparatus further includes: a positional deviation detection section—for detecting a relative positional deviation which occurs between the guide shaft and the drive member and which affects the thickness dimensions of the fluid films; and a state decision section for making a decision on the condition of the apparatus itself based on the positional deviation detected by the detection section and outputting information responsive to the decision.

MACHINE LEARNING BASED IMAGE GENERATION FOR MODEL BASE ALIGNMENTS

A method for training a machine learning model to generate a predicted measured image, the method including obtaining (a) an input target image associated with a reference design pattern, and (b) a reference measured image associated with a specified design pattern printed on a substrate, wherein the input target image and the reference measured image are non-aligned images; and training, by a hardware computer system and using the input target image, the machine learning model to generate a predicted measured image.

RADIATION SOURCE TESTING
20220404717 · 2022-12-22 ·

A method of generating a test for a radiation source for a lithographic apparatus comprises a step of receiving data corresponding to a plurality of firing patterns of the radiation source. The method further comprises the step of analyzing the data to determine parameters for configuring one or more further firing patterns for testing the radiation source. The parameters are determined such that a stability of the radiation source when executing the one or more further firing patterns configured using the parameters is substantially the same as, or within predefined bounds relative to, a stability of the radiation source when executing the plurality of firing patterns. Furthermore, parameters are determined such that a total duration of the one or more further firing patterns when executed by the radiation source will be less than a duration of the plurality of firing patterns when executed by the radiation source.

INSPECTION TOOL FOR A SEMICONDUCTOR PROCESSING TOOL AND METHODS OF USE

A wafer table inspection tool described herein is capable of being positioned over a wafer table while the wafer table is positioned in a bottom module of an exposure tool of a lithography system. The wafer table inspection tool is capable of quickly evaluating the condition of surface burls on the wafer table and evaluating cleaning performance of a cleaning operation in which the surface burls are cleaned.

METROLOGY METHOD AND LITHOGRAPHIC APPARATUSES

Disclosed is a method of metrology such as alignment metrology. The method comprises obtaining pupil plane measurement dataset at a pupil plane relating to scattered radiation resultant from a measurement of a structure. The method comprises determining a measurement value or correction therefor using the pupil plane measurement dataset and a sensor term relating to sensor optics used to perform said measurement.