Abstract:
Metrology methods and targets are provided, that expand metrological procedures beyond current technologies into multi-layered targets, quasi-periodic targets and device-like targets, without having to introduce offsets along the critical direction of the device design. Machine learning algorithm application to measurements and/or simulations of metrology measurements of metrology targets are disclosed for deriving metrology data such as overlays from multi-layered target and corresponding configurations of targets are provided to enable such measurements. Quasi-periodic targets which are based on device patterns are shown to improve the similarity between target and device designs. Offsets are introduced only in non-critical direction and/or sensitivity is calibrated to enable, together with the solutions for multi-layer measurements and quasi-periodic target measurements, direct device optical metrology measurements.
Abstract:
Methods and metrology tool modules embodying the methods are provided. Methods comprise measuring characteristics of intermediate features such as guiding lines in a directed self-assembly (DSA) process, deriving exposure parameters from the measured characteristics; and adjusting production parameters for producing consecutive target features according to the derived exposure parameters. The methods and modules enhance the accuracy of the DSA-produced structures and related measurements.
Abstract:
An overlay metrology system includes a particle-beam metrology tool to scan a particle beam across an overlay target on a sample including a first-layer target element and a second-layer target element. The overlay metrology system may further include a controller to receive a scan signal from the particle-beam metrology tool, determine symmetry measurements for the scan signal with respect to symmetry metrics, and generate an overlay measurement between the first layer and the second layer based on the symmetry measurements in which an asymmetry of the scan signal is indicative of a misalignment of the second-layer target element with respect to the first-layer target element and a value of the overlay measurement is based on the symmetry measurements.
Abstract:
Methods applicable in metrology modules and tools are provided, which enable adjusting metrology measurement parameters with respect to process variation, without re-initiating metrology recipe setup. Methods comprise, during an initial metrology recipe setup, recording a metrology process window and deriving baseline information therefrom, and during operation, quantifying the process variation with respect to the baseline information, and adjusting the metrology measurement parameters within the metrology process window with respect to the quantified process variation. The quick adjustment of metrology parameters avoids metrology-related process delays and releases prior art bottlenecks related thereto. Models of effects of various process variation factors on the metrology measurements may be used to enhance the derivation of required metrology tuning and enable their application with minimal delays to the production process.
Abstract:
Metrology targets, design files, and design and production methods thereof are provided. The targets comprise two or more parallel periodic structures at respective layers, wherein a predetermined offset is introduced between the periodic structures, for example, opposite offsets at different parts of a target. Quality metrics are designed to estimate the unintentional overlay from measurements of a same metrology parameter by two or more alternative measurement algorithms. Target parameters are configured to enable both imaging and scatterometry measurements and enhance the metrology measurements by the use of both methods on the same targets. Imaging and scatterometry target parts may share elements or have common element dimensions. Imaging and scatterometry target parts may be combined into a single target area or may be integrated into a hybrid target using a specified geometric arrangement.
Abstract:
Scatterometry overlay (SCOL) measurement methods, systems and targets are provided to enable efficient SCOL metrology with in-die targets. Methods comprise generating a signal matrix by: illuminating a SCOL target at multiple values of at least one illumination parameter, and at multiple spot locations on the target, wherein the illumination is at a NA (numerical aperture) >1/3 yielding a spot diameter
Abstract:
Metrology targets designs, design methods and measurement methods are provided, which reduce noise and enhance measurement accuracy. Disclosed targets comprise an additional periodic structure which is orthogonal to the measurement direction along which given target structures are periodic. For example, in addition to two or more periodic structures along each measurement direction in imaging or scatterometry targets, a third, orthogonal periodic structure may be introduced, which provides additional information in the orthogonal direction, can be used to reduce noise, enhances accuracy and enables the application of machine learning algorithms to further enhance accuracy. Signals may be analyzed slice-wise with respect to the orthogonal periodic structure, which can be integrated in a process compatible manner in both imaging and scatterometry targets.
Abstract:
A method of overlay control in silicon wafer manufacturing comprises firstly locating a target comprising a diffraction grating on a wafer layer; and then measuring the alignment of patterns in successive layers of the wafer. The location of the target may be done by the pupil camera rather than a vision camera by scanning the target to obtain pupil images at different locations along a first axis. The pupil images may comprise a first order diffraction pattern for each location. A measurement of signal intensity in the first order diffraction pattern is then obtained for each location. The variation of signal intensity with location along each axis is then analyzed to calculate the location of a feature in the target.
Abstract:
Metrology methods and respective software and module are provided, which identify and remove measurement inaccuracy which results from process variation leading to target asymmetries. The methods comprise identifying an inaccuracy contribution of process variation source(s) to a measured scatterometry signal (e.g., overlay) by measuring the signal across a range of measurement parameter(s) (e.g., wavelength, angle) and targets, and extracting a measurement variability over the range which is indicative of the inaccuracy contribution. The method may further assume certain functional dependencies of the resulting inaccuracy on the target asymmetry, estimate relative donations of different process variation sources and apply external calibration to further enhance the measurement accuracy.
Abstract:
The present invention may include acquiring a plurality of overlay metrology measurement signals from a plurality of metrology targets distributed across one or more fields of a wafer of a lot of wafers, determining a plurality of overlay estimates for each of the plurality of overlay metrology measurement signals using a plurality of overlay algorithms, generating a plurality of overlay estimate distributions, and generating a first plurality of quality metrics utilizing the generated plurality of overlay estimate distributions, wherein each quality metric corresponds with one overlay estimate distribution of the generated plurality of overlay estimate distributions, each quality metric a function of a width of a corresponding generated overlay estimate distribution, each quality metric further being a function of asymmetry present in an overlay metrology measurement signal from an associated metrology target.