Kla Tencor Corporation

Kla Corporation

Kla-tencor Technologies Corporation

Torsten Rudolf Kaack

Leonid Poslavsky

Qiang Zhao

Hidong Kwak

Ward RDell Dixon

Zhengquan Tan

Liequan Lee

Ming Di

Zhiming Jiang

Andrei V Shchegrov

Stilian Pandev

Alexander Kuznetsov

Xiang Gao

Houssam Chouaib

Dawei Hu

Ning-Yi Neil Wang

Aaron J Rosenberg

Manh Dang Nguyen

Fabio A Faccini

John Lesoine

Tianhan Wang

Jagjit Sandhu

Shankar Krishnan

Lie-Quan Lee

Hong Qiu

Jiyou Fu

Philip D Flanner, Iii

Meng Cao

Jonathan Iloreta

Kenneth Edward James, Jr

Sungchul Yoo

Jun-Jie Ye

Raphael Jean Michel Marie Getin

Yu Tay

Matthew A Laffin

A spectroscopic metrology system includes a spectroscopic metrology tool and a controller. The controller generates a model of a multilayer grating including two or more layers, the model including geometric parameters indicative of a geometry of a test layer of the multilayer grating and dispersion parameters indicative of a dispersion of the test layer. The controller further receives a spectroscopic signal of a fabricated multilayer grating corresponding to the modeled multilayer grating from the spectroscopic metrology tool. The controller further determines values of the one or more parameters of the modeled multilayer grating providing a simulated spectroscopic signal corresponding to the measured spectroscopic signal within a selected tolerance. The controller further predicts a bandgap of the test layer of the fabricated multilayer grating based on the determined values of the one or more parameters of the test layer of the fabricated structure.

Bandgap measurements of patterned film stacks using spectroscopic metrology

A metrology system, method, and computer program product that employ automatic transitioning between utilizing a library and utilizing regression for measurement processing are provided. In use, it is determined, by the metrology system, that a predetermined condition has been met. In response to determining that the predetermined condition has been met, the metrology system automatically transitions between utilizing a library and utilizing regression for measurement processing.

Metrology system, method, and computer program product employing automatic transitioning between utilizing a library and utilizing regression for measurement processing

Methods and systems for calibrating system parameter values of a target inspection system are presented. Spectral Error Based Calibration (SEBC) increases consistency among inspection systems by minimizing differences in the spectral error among different inspection systems for a given specimen or set of specimens. The system parameter values are determined such that differences between a spectral error associated with a measurement of a specimen by the target inspection system and a spectral error associated with a measurement of the same specimen by a reference inspection system are minimized. In some examples, system parameter values are calibrated without modifying specimen parameters. Small inaccuracies in specimen parameter values have little effect on the calibration because the target system and the reference system both measure the same specimen or set of specimens. By performing SEBC over a set of specimens, the resulting calibration is robust to a wide range of specimens under test.

Spectral matching based calibration

A system and method for local film stress calculation is disclosed. The method may include specifying a plurality of measurement points on a substrate, the substrate being configured to receive a film deposition; obtaining a local film thickness measurement for each measurement point; obtaining a local wafer shape parameter for each measurement point; and calculating a local film stress value for each measurement point based on the local film thickness measurement and the local wafer shape parameter for each corresponding measurement point. The method may further include specifying a plurality of estimation points on the substrate; obtaining a local wafer shape parameter for each estimation point; calculating an estimated local film thickness for each estimation point; and calculating a local film stress value for each estimation point based on the estimated local film thickness and the local wafer shape parameter for each corresponding estimation point.

Calculation method for local film stress measurements using local film thickness values

Methods and tools for generating measurement models of complex device structures based on re-useable, parametric models are presented. Metrology systems employing these models are configured to measure structural and material characteristics associated with different semiconductor fabrication processes. The re-useable, parametric sub-structure model is fully defined by a set of independent parameters entered by a user of the model building tool. All other variables associated with the model shape and internal constraints among constituent geometric elements are pre-defined within the model. In some embodiments, one or more re-useable, parametric models are integrated into a measurement model of a complex semiconductor device. In another aspect, a model building tool generates a re-useable, parametric sub-structure model based on input from a user. The resulting models can be exported to a file that can be used by others and may include security features to control the sharing of sensitive intellectual property with particular users.

Semiconductor device models including re-usable sub-structures

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.

Measurement of composition for thin films

A local purging tool for purging a portion of a surface of a wafer with purging gas is disclosed. The purging tool includes a purging chamber configured to contain purging gas within a cavity of the purging chamber, a permeable portion of a surface of the purging chamber configured to diffuse purging gas from the cavity of the chamber to a portion of a surface of a wafer, and an aperture configured to transmit illumination received from an illumination source to a measurement location of the portion of the surface of the wafer and further configured to transmit illumination reflected from the measurement location to a detector.

Atmospheric molecular contamination control with local purging

Ellipsometry systems and ellipsometry data collection methods with improved stabilities are disclosed. In accordance with the present disclosure, multiple predetermined, discrete analyzer angles are utilized to collect ellipsometry data for a single measurement, and data regression is performed based on the ellipsometry data collected at these predetermined, discrete analyzer angles. Utilizing multiple discrete analyzer angles for a single measurement improves the stability of the ellipsometry system.

Multi-analyzer angle spectroscopic ellipsometry

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.

High throughput thin film characterization and defect detection

A method of performing an investigation of a substrate, by measuring a reflectivity of the substrate, comparing the reflectivity of the substrate to an anticipated reflectivity value, selectively subjecting the substrate to a laser beam for a predetermined duration and at a predetermined energy only when the reflectivity of the substrate is within a specified tolerance of the anticipated reflectivity value, selectively signaling a fault condition when the reflectivity of the substrate is not within the specified tolerance of the anticipated reflectivity value, and selectively performing the investigation of the substrate only when the reflectivity of the substrate is within the specified tolerance of the anticipated reflectivity value.

Control by sample reflectivity

A method of performing a measurement of properties of a sample, by directing a first beam of light at the sample, where a combination of the wavelength, energy, and length of time is sufficient to cause temporary damage to the sample. The first beam is reflected from the sample. The properties of the reflected beam are sensed to create a signal. A length of time is waited, sufficient for the damage to substantially heal, before a second beam of light is directed at the sample, where a combination of the wavelength, energy, and length of time is sufficient to cause temporary damage to the sample. The second beam is reflected from the sample. The properties of the reflected beam are sensed to create a signal. The first and second electrical signals are analyzed to determine the properties of the sample.

Ellipsometry measurement and analysis

A method for measurement of a specimen is provided. The method includes measuring spectroscopic ellipsometric data of the specimen. The method also includes determining a nitrogen concentration of a nitrided oxide gate dielectric formed on the specimen from the spectroscopic ellipsometric data. A computer-implemented method for analysis of a specimen is also provided. This method includes determining a nitrogen concentration of a nitrided oxide gate dielectric formed on the specimen from spectroscopic ellipsometric data generated by measurement of the specimen. In some embodiments, the methods described above may include determining an index of refraction of the nitrided oxide gate dielectric from the spectroscopic ellipsometric data and determining the nitrogen concentration from the index of refraction. In another embodiment, the methods described above may include measuring reflectometric data of the specimen. The nitrogen concentration may be determined from the spectroscopic ellipsometric data in combination with the reflectometric data.

Methods for measurement or analysis of a nitrogen concentration of a specimen

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Los Altos, CA, United States of America

Torsten Rudolf Kaack