Kla Tencor Corporation

Kla Corporation

Other

Tal Marciano

Dana Klein

Barak Bringoltz

Nuriel Amir

Vincent Immer

Michael E Adel

Daniel Kandel

Nadav Gutman

Tzahi Grunzweig

Tal Itzkovich

Lilach Saltoun

Nadav Carmel

Etay Lavert

Noa Armon

Vidya Ramanathan

Janay Camp

Amnon Manassen

Vladimir Levinski

Ady Levy

Mark Ghinovker

Leonid Poslavsky

Yoel Feler

Eran Amit

Yuri Paskover

Ohad Bachar

Guy Cohen

John Charles Robinson

Mark Wagner

Evgeni Gurevich

Amit Shaked

Boris Efraty

Nimrod Shuall

Noga Sella

Ido Adam

Tal Yaziv

Tom Leviant

Claire Staniunas

Ofer Zaharan

Amir Handelman

Naomi Ittah

Oded Kaminsky

Eltsafon Ashwal

Ze'ev Lindenfeld

Zeng Zhao

Moshe Cooper

Roee Sulimarski

A method for quantifying sensitivity of metrology to process variation including performing metrology, by a metrology tool, on at least one metrology target located at at least one site on a semiconductor wafer, thereby generating a metrology landscape, and calculating a sensitivity metric directly based on the metrology landscape, the sensitivity metric quantifying a sensitivity of the metrology landscape to process variation involved in manufacture of the semiconductor wafer.

Systems and methods for metrology optimization based on metrology landscapes

An overlay metrology system includes a controller to receive, from an overlay metrology tool, overlay measurements on multiple sets of overlay targets on a sample with a range of values of a measurement parameter, where a particular set of overlay targets includes overlay targets having one of two or more overlay target designs. The controller may further determine scaling metric values for at least some of the overlay targets, where the scaling metric for a particular overlay target is based on a standard deviation of the overlay measurements of the corresponding set of overlay targets. The controller may further determine a variability of the scaling metric values for each of the two or more sets of overlay targets. The controller may further select, as an output overlay target design, one of the two or more overlay target designs having a smallest scaling metric variability.

Scaling metric for quantifying metrology sensitivity to process variation

Systems, metrology modules and methods are provided, which identify, per wafer site, components of residuals from measurement of metrology metric(s), and optimize measurement parameters for each site, according to the identified residuals' components. Certain embodiments utilize metric landscapes to identify sensitive sites and/or to identify sites exhibiting highest accuracy, and corresponding metrics may be combined over the wafer to further enhance the metrology performance. Zonal analysis may be used to reduce the systematic errors, and disclosed per-site analysis may be used to further reduce the non-systematic error components, and relate the remaining residuals components to process variation over the wafer.

Per-site residuals analysis for accurate metrology measurements

A device and method for expediting spectral measurement in metrological activities during semiconductor device fabrication through interferometric spectroscopy of white light illumination during calibration, overlay, and recipe creation.

Expediting spectral measurement in semiconductor device fabrication

Metrology methods are provided for deriving metrology measurement parameter value(s) by identifying the value(s) in which the corresponding metrology measurement signal(s) have minimal amplitude asymmetry. Selecting the measurement parameter values as disclosed reduces significantly the measurement inaccuracy. For example, wavelength values and/or focus values may be detected to indicate minimal amplitude asymmetry and/or minimal phase asymmetry. In certain embodiments, wavelength values which provide minimal amplitude asymmetry also provide minimal signal sensitivity to focus. Developed metrics may be further used to indicate process robustness across wafers and lots. In some embodiments, imaging accuracy may be enhanced by through-focus landscaping of the amplitude asymmetry and detection of parameters values with minimal amplitude asymmetry.

Estimating amplitude and phase asymmetry in imaging technology for achieving high accuracy in overlay metrology

Methods are provided for deriving a partially continuous dependency of metrology metric(s) on recipe parameter(s), analyzing the derived dependency, determining a metrology recipe according to the analysis, and conducting metrology measurement(s) according to the determined recipe. The dependency may be analyzed in form of a landscape such as a sensitivity landscape in which regions of low sensitivity and/or points or contours of low or zero inaccuracy are detected, analytically, numerically or experimentally, and used to configure parameters of measurement, hardware and targets to achieve high measurement accuracy. Process variation is analyzed in terms of its effects on the sensitivity landscape, and these effects are used to characterize the process variation further, to optimize the measurements and make the metrology both more robust to inaccuracy sources and more flexible with respect to different targets on the wafer and available measurement conditions.

Method of analyzing and utilizing landscapes to reduce or eliminate inaccuracy in overlay optical metrology

Metrology methods and targets are provided, for estimating inter-cell process variation by deriving, from overlay measurements of at least three target cells having different designed misalignments, a dependency of a measured inaccuracy on the designed misalignments (each designed misalignment is between at least two overlapping periodic structures in the respective target cell). Inaccuracies which are related to the designed misalignments are reduced, process variation sources are detected and targets and measurement algorithms are optimized according to the derived dependency.

Estimating and eliminating inter-cell process variation inaccuracy

Systems and method are presented for identifying process variations during manufacture of products such as semiconductor wafers. At a predetermined stage during manufacture of a first products, images of an area of the first product are obtained using different values of at least one imaging parameter. The images are then analyzed to generate a first contrast signature for said first product indicating variations of contrast with said at least one imaging parameter. At the same predetermined stage during manufacture of a second product, images of an area of said second product are obtained corresponding to said area of said first product using different values of said at least one imaging parameter. The images are analyzed to generate a second contrast signature for said second product indicating variations of contrast with said at least one imaging parameter. The first and second contrast signatures are compared to identify whether a variation in process occurred between manufacture of said first and second products.

Identifying process variations during product manufacture

Methods and scatterometry overlay metrology tools are provided, which scan a wafer region, perform focus measurements during the scanning to extract therefrom phase information, and derive depth data of the scanned wafer region from the extracted phase information. The depth information, relating to a dimension perpendicular to the wafer, may be derived along lines or surfaces, providing profilometry and surface data, respectively. The depth data may be used to locate metrology targets, as well as to provide material properties concerning wafer layers, to estimate process variation and to improve the overlay measurements.

Three-dimensional mapping of a wafer

Method, metrology modules and RCA tool are provided, which use the behavior of resonance region(s) in measurement landscapes to evaluate and characterize process variation with respect to symmetric and asymmetric factors, and provide root cause analysis of the process variation with respect to process steps. Simulations of modeled stacks with different layer thicknesses and process variation factors may be used to enhance the analysis and provide improved target designs, improved algorithms and correctables for metrology measurements. Specific targets that exhibit sensitive resonance regions may be utilize to enhance the evaluation of process variation.

Analyzing root causes of process variation in scatterometry metrology

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.

Feed forward of metrology data in a metrology system

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Zychron Yaacov, Israel

Tal Marciano