Abstract:
A metrology performance analysis system includes a metrology tool including one or more detectors and a controller communicatively coupled to the one or more detectors. The controller is configured to receive one or more metrology data sets associated with a metrology target from the metrology tool in which the one or more metrology data sets include one or more measured metrology metrics and the one or more measured metrology metrics indicate deviations from nominal values. The controller is further configured to determine relationships between the deviations from the nominal values and one or more selected semiconductor process variations, and determine one or more root causes of the deviations from the nominal values based on the relationships between values of the one or more metrology metrics and the one or more selected semiconductor process variations.
Abstract:
A method to calibrate a polarizer in polarized optical system at any angle of incidence, by decoupling the calibration from a polarization effect of the system, by providing a calibration apparatus that includes a substrate having a polarizer disposed on a surface thereof, with an indicator on the substrate for indicating a polarization orientation of the polarizer, loading the calibration apparatus in the polarized optical system with the indicator in a desired position, determining an initial angle between the polarization orientation and a reference of the polarized optical system, acquiring spectra using the polarized optical system at a plurality of known angles between the polarization orientation and the reference of the polarized optical system, using the spectra to plot a curve indicating an angle of the polarizer in the polarized optical system, and when the angle of the polarizer is outside of a desired range, adjusting the angle of the polarizer, and repeating the steps of acquiring the spectra, and plotting a curve indicating the angle of the polarizer.
Abstract:
The disclosure is directed to improving optical metrology for a sample with complex structural attributes utilizing custom designed secondary targets. At least one parameter of a secondary target may be controlled to improve sensitivity for a selected parameter of a primary target and/or to reduce correlation of the selected parameter with other parameters of the primary target. Parameters for the primary and secondary target may be collected. The parameters may be incorporated into scatterometry model. Simulations utilizing the scatterometry model may be conducted to determine a level of sensitivity or a level of correlation for the selected parameter of the primary target. The controlled parameter of the secondary target may be modified until a selected level of sensitivity or a selected level of correlation is achieved.
Abstract:
The present invention includes generating a three-dimensional design of experiment (DOE) for a plurality of semiconductor wafers, a first dimension of the DOE being a relative amount of a first component of the thin film, a second dimension of the DOE being a relative amount of a second component of the thin film, a third dimension of the DOE being a thickness of the thin film, acquiring a spectrum for each of the wafers, generating a set of optical dispersion data by extracting a real component (n) and an imaginary component (k) of the complex index of refraction for each of the acquired spectrum, identifying one or more systematic features of the set of optical dispersion data; and generating a multi-component Bruggeman effective medium approximation (BEMA) model utilizing the identified one or more systematic features of the set of optical dispersion data.
Abstract:
Methods of determining asymmetric properties of structures are described. A method includes measuring, for a grating structure, a first signal and a second, different, signal obtained by optical scatterometry. A difference between the first signal and the second signal is then determined. An asymmetric structural parameter of the grating structure is determined based on a calculation using the first signal, the second signal, and the difference.
Abstract:
Methods and systems for determining band structure characteristics of high-k dielectric films deposited over a substrate based on spectral response data are presented. High throughput spectrometers are utilized to quickly measure semiconductor wafers early in the manufacturing process. Optical dispersion metrics are determined based on the spectral data. Band structure characteristics such as band gap, band edge, and defects are determined based on optical dispersion metric values. In some embodiments a band structure characteristic is determined by curve fitting and interpolation of dispersion metric values. In some other embodiments, band structure characteristics are determined by regression of a selected dispersion model. In some examples, band structure characteristics indicative of band broadening of high-k dielectric films are also determined. The electrical performance of finished wafers is estimated based on the band structure characteristics identified early in the manufacturing process.
Abstract:
Approaches for accurate neural network training for library-based critical dimension (CD) metrology are described. Approaches for fast neural network training for library-based CD metrology are also described.
Abstract:
Methods of determining asymmetric properties of structures are described. A method includes measuring, for a grating structure, a first signal and a second, different, signal obtained by optical scatterometry. A difference between the first signal and the second signal is then determined. An asymmetric structural parameter of the grating structure is determined based on a calculation using the first signal, the second signal, and the difference.