Embodiments of bonded semiconductor structures and fabrication methods thereof are disclosed. In an example, a method for forming a semiconductor device is disclosed. A first device layer is formed on a first substrate. A first bonding layer including a first bonding contact and a first bonding alignment mark is formed above the first device layer. A second device layer is formed on a second substrate. A second bonding layer including a second bonding contact and a second bonding alignment mark is formed above the second device layer. The first bonding alignment mark is aligned with the second bonding alignment mark, such that the first bonding contact is aligned with the second bonding contact. The first substrate and the second substrate are bonded in a face-to-face manner, so that the first bonding contact is in contact with the second bonding contact at a bonding interface, and the first bonding alignment mark is in contact with the second bonding alignment mark at the bonding interface.

The present invention provides an evaluation method of evaluating a measurement condition of a position of a mark formed on a substrate, the method comprising: obtaining a mark signal representing an intensity distribution of reflected light by detecting the reflected light from the mark under the measurement condition; generating a plurality of signals from the mark signal by changing a first signal component of a first frequency included in the mark signal obtained in the obtaining; and estimating a position of the mark from each of the plurality of signals obtained in the generating, and obtaining a variation in estimated position of the mark as an evaluation index of the measurement condition.

A method for calibrating the alignment of a wafer is provided. A plurality of alignment position deviation (APD) simulation results are obtained form a plurality of mark profiles. An alignment analysis is performed on a mark region of the wafer with a light beam. A measured APD of the mark region of the wafer is obtained in response to the light beam. The measured APD is compared with the APD simulation results to obtain alignment calibration data. An exposure process is performed on the wafer with a mask according to the alignment calibration data.

The present disclosure generally relates to photolithography systems, and methods for correcting positional errors in photolithography systems. When a photolithography system is first started, the system enters a stabilization period. During the stabilization period, positional readings and data, such as temperature, pressure, and humidity data, are collected as the system prints or exposes a substrate. A model is created based on the collected data and the positional readings. The model is then used to estimate errors in subsequent stabilization periods, and the estimated errors are dynamically corrected during the subsequent stabilization periods.

In a lithographic process in which a series of substrates are processed in different contexts, object data (such as performance data representing overlay measured on a set of substrates that have been processed previously) is received. Context data represents one or more parameters of the lithographic process that vary between substrates within the set. By principal component analysis or other statistical analysis of the performance data, the set of substrates are partitioned into two or more subsets. The first partitioning of the substrates and the context data are used to identify one or more relevant context parameters, being parameters of the lithographic process that are observed to correlate most strongly with the first partitioning. The lithographic apparatus is controlled for new substrates by reference to the identified relevant context parameters. Embodiments with feedback control and feedforward control are described.

A method for monitoring a lithographic process, and associated lithographic apparatus. The method includes obtaining height variation data relating to a substrate supported by a substrate support and fitting a regression through the height variation data, the regression approximating the shape of the substrate; residual data between the height variation data and the regression is determined; and variation of the residual data is monitored over time. The residual data may be deconvolved based on known features of the substrate support.

A lithographic cluster includes a track unit and a lithographic apparatus. The lithographic apparatus includes an alignment sensor and at least one controller. The track unit is configured to process a first lot and a second lot. The lithographic apparatus is operatively coupled to the track unit. The alignment sensor is configured to measure an alignment of at least one alignment mark type of a calibration wafer. At least one controller is configured to determine a correction set for calibrating the lithographic apparatus based on the measured alignment of the at least one alignment mark type and apply first and second weight corrections to the correction set for processing the first and second lots, respectively, such that overlay drifts or jumps during processing the first and second lots are mitigated.

A system for and method of processing a wafer in which a scan signal is analyzed locally to extract information about alignment, overlay, mark quality, wafer quality, and the like.

A method for determining a preferred control strategy relating to control of a manufacturing process for manufacturing an integrated circuit. The method includes: obtaining process data associated with a design of said integrated circuit; and obtaining a plurality of candidate control strategies configured to control the manufacturing process based on the process data, each candidate control strategy including an associated cost metric based on an associated requirement to implement the candidate control strategy. A quality metric related to an expected performance of the manufacturing process is determined for each candidate control strategies, and a preferred control strategy is selected based on the determined quality metrics and associated cost metrics for each candidate control strategy.

A method including obtaining a measurement result from a target on a substrate, by using a substrate measurement recipe; determining, by a hardware computer system, a parameter from the measurement result, wherein the parameter characterizes dependence of the measurement result on an optical path length of the target for incident radiation used in the substrate measurement recipe and the determining the parameter includes determining dependence of the measurement result on a relative change of wavelength of the incident radiation; and if the parameter is not within a specified range, adjusting the substrate measurement recipe.