A method for determining a target feature in a model of a patterning process based on local electric fields estimated for the patterning process. The method includes obtaining a mask stack region of interest. The mask stack region of interest has one or more characteristics associated with propagation of electromagnetic waves through the mask stack region of interest. The mask stack region of interest includes the target feature. The method includes estimating a local electric field based on the one or more characteristics associated with the propagation of electromagnetic waves through the mask stack region of interest. The local electric field is estimated for a portion of the mask stack region of interest in proximity to the target feature. The method includes determining the target feature based on the estimated local electric field.

The present document describes a lithographic patterning method for creating features on a surface of a substrate. The patterning method includes the steps of applying a resist material to the substrate surface for providing a resist material layer, selectively exposing, dependent on a location and based on patterning data, the resist material layer to a surface treatment step for chemically modifying the resist material of the resist material layer, and developing, based on the chemical modification of the resist material, the resist material layer such as to selectively remove the resist material. In particular, prior to the step of developing, the method comprises a step of scanning at least a part of the surface using an acoustic scanning probe microscopy method for determining a local contact stiffness of the substrate surface at a plurality of locations, for measuring one or more critical dimensions of the features to be formed on the surface.

A method of detecting defects of a photoresist pattern includes generating a scanning electron microscope (SEM) image of a surface of a photoresist pattern and signal intensity data relative to pixel position of the surface of the photoresist pattern. The method also includes setting a lower reference intensity threshold value and an upper reference intensity threshold value used as reference values for detecting defects. The method further includes classifying a pixel position of the signal intensity data having a signal intensity value which is less than the lower reference intensity threshold value or greater than the upper reference intensity threshold value as a defect position.

A print element substrate including a substrate having an energy generating element that generates energy for ejecting liquid from an ejection port and a flow passage forming member including a flow passage that supplies the liquid to the ejection port, wherein the flow passage forming member includes a cavity not communicating with the flow passage, and a side surface of the cavity is formed substantially perpendicular to the substrate wherein a base film is formed between the cavity and the substrate. The refractive index of the flow passage forming member is lower than the refractive index of the base film, and the difference between the refractive index of the flow passage forming member and the refractive index of the base film is greater than or equal to 0.3.

A method of detecting defects of a photoresist pattern includes generating a scanning electron microscope (SEM) image of a surface of a photoresist pattern and signal intensity data relative to pixel position of the surface of the photoresist pattern. The method also includes setting a lower reference intensity threshold value and an upper reference intensity threshold value used as reference values for detecting defects. The method further includes classifying a pixel position of the signal intensity data having a signal intensity value which is less than the lower reference intensity threshold value or greater than the upper reference intensity threshold value as a defect position.

A method of detecting defects of a photoresist pattern includes generating a scanning electron microscope (SEM) image of a surface of a photoresist pattern and signal intensity data relative to pixel position of the surface of the photoresist pattern. The method also includes setting a lower reference intensity threshold value and an upper reference intensity threshold value used as reference values for detecting defects. The method further includes classifying a pixel position of the signal intensity data having a signal intensity value which is less than the lower reference intensity threshold value or greater than the upper reference intensity threshold value as a defect position.

A method of detecting defects of a photoresist pattern includes generating a scanning electron microscope (SEM) image of a surface of a photoresist pattern and signal intensity data relative to pixel position of the surface of the photoresist pattern. The method also includes setting a lower reference intensity threshold value and an upper reference intensity threshold value used as reference values for detecting defects. The method further includes classifying a pixel position of the signal intensity data having a signal intensity value which is less than the lower reference intensity threshold value or greater than the upper reference intensity threshold value as a defect position.

A method including computing, in accordance with one or more parameters of a substrate measurement recipe, measurement with a latent image of a target and measurement with a post-development image corresponding to the latent image, to evaluate a characteristic determined from the computed measurement with the latent image of the target and determined from the computed measurement with the post-development image corresponding to the latent image; and adjusting the one or more parameters of the substrate measurement recipe and re-performing the computing, until a certain termination condition is satisfied with respect to the characteristic.

A method to improve a lithographic process of imaging a portion of a design layout onto a substrate using a lithographic projection apparatus, the method including: computing a multi-variable cost function, the multi-variable cost function being a function of a stochastic variation of a characteristic of an aerial image or a resist image, or a function of a variable that is a function of the stochastic variation or that affects the stochastic variation, the stochastic variation being a function of a plurality of design variables that represent characteristics of the lithographic process; and reconfiguring one or more of the characteristics of the lithographic process by adjusting one or more of the design variables until a certain termination condition is satisfied.

A method and system for predicting process information (e.g., phase data) using a given input (e.g., intensity) to a parameterized model are described. A latent space of a given input is determined based on dimensional data in a latent space of the parameterized model for a given input to the parameterized model. Further, an optimum latent space is determined by constraining the latent space with prior information (e.g., wavelength) that enables converging to a solution that causes more accurate predictions of the process information. The optimum latent space is used to predict the process information. The given input may be a measured amplitude (e.g., intensity) associated with the complex electric field image. The predicted process information can be complex electric field image having amplitude data and phase data. The parameterized model comprises variational encoder-decoder architecture.