Kla Tencor Corporation

Kla Corporation

Spectralus Corporation

Kla-tencor Technologies Corporation

Novalux, Inc.

Kla-tenor Corp.

Arasor Corporation

Andrei V Shchegrov

Stilian Pandev

Alexander Kuznetsov

Kevin A Peterlinz

Michael S Bakeman

Thaddeus Gerard Dziura

Gregory Brady

Jonathan M Madsen

Amnon Manassen

Noam Sapiens

Derrick A Shaughnessy

David Y Wang

Lawrence D Rotter

Mehrdad Nikoonahad

Leonid Poslavsky

Shankar Krishnan

Andrei Veldman

Antonio Arion Gellineau

Andrew V Hill

John Josef Hench

Stepan Essaian

Anatoly Fabrikant

Liran Yerushalmi

Ady Levy

Walter Dean Mieher

Daniel C Wack

Qiang Zhao

Zhengquan Tan

Guorong Vera Zhuang

Muzammil A Arain

Daniel Kandel

Jason Paul Watson

Nadav Gutman

Oleg Khodykin

Houssam Chouaib

Liequan Lee

Avi Abramov

Johannes D De Veer

Aram Mooradian

Alexander Buettner

Min-Yeong Moon

Dimitry Sanko

Mahendra Dubey

Guoheng Zhao

Mark Ghinovker

Ilya Bezel

Noah Bareket

Anatoly Shchemelinin

Yoram Uziel

Michael Friedmann

Allen Park

Wei Guang Lu

Ohad Bachar

Xuefeng Liu

Alexander Svizher

Frank Laske

Torsten Rudolf Kaack

Ilan Sela

Klaus Flock

Dzhakhangir V Khaydarov

Gilad Laredo

Dawei Hu

Dzmitry Sanko

Ming Di

Aaron J Rosenberg

Kerstin Purrucker

Sergey Zalubovsky

Moshe Markowitz

Pablo Rovira

Antonio Mani

Yaron Ish-Shalom

Sungchul Yoo

Christopher Liman

Ben Tsai

Tianhan Wang

Anatoly A Vasiliev

Manh Dang Nguyen

James Andrew Allen

Oleg Shulepov

Maxim Khokhlov

Michael E Adel

Fei Li

Michael Jansen

Seunghwan Lee

Sangbong Park

John M Green

Yin Xu

Lie-Quan Lee

Nikolay Artemiev

Yossi Simon

Barry Blasenheim

Song Qing Wu

Meng Cao

Prateek Jain

Arvydas Umbrasas

Asaf Granot

Boxue Chen

Emanuel Saerchen

A multi-column metrology tool may include two or more measurement columns distributed along a column direction, where the two or more measurement columns simultaneously probe two or more measurement regions on a sample including metrology targets. A measurement column may include an illumination sub-system to direct illumination to the sample, a collection sub-system including a collection lens to collect measurement signals from the sample and direct it to one or more detectors, and a column-positioning sub-system to adjust a position of the collection lens. A measurement region of a measurement column may be defined by a field of view of the collection lens and a range of the positioning system in the lateral plane. The tool may further include a sample-positioning sub-system to scan the sample along a scan path different than the column direction to position metrology targets within the measurement regions of the measurement columns for measurements.

Massive overlay metrology sampling with multiple measurement columns

A system and method are disclosed for generating metrology measurements with second sub-system such as an optical sub-system. The method may include performing a training and a run-time operation. The training may include receiving first metrology data for device features from the first metrology sub-system (e.g., optical); generating first metrology measurements (e.g., critical dimensions, etc.); binning the device features into two or more device bins based on the first metrology measurements; and identifying representative metrology targets for the two or more device bins based on distributions of the first metrology measurements. The run-time operation may include receiving run-time metrology data (e.g., optical) of the representative metrology targets; and generating run-time metrology measurements based on the run-time metrology data.

Device feature specific edge placement error (EPE)

Methods and systems for monitoring the quality of a semiconductor measurement in a targeted manner are presented herein. Rather than relying on one or more general indices to determine overall measurement quality, one or more targeted measurement quality indicators are determined. Each targeted measurement quality indicator provides insight into whether a specific operational issue is adversely affecting measurement quality. In this manner, the one or more targeted measurement quality indicators not only highlight deficient measurements, but also provide insight into specific operational issues contributing to measurement deficiency. In some embodiments, values of one or more targeted measurement quality indicators are determined based on features extracted from measurement data. In some embodiments, values of one or more targeted measurement quality indicators are determined based on features extracted from one or more indications of a comparison between measurement data and corresponding measurement data simulated by a trained measurement model.

Methods and systems for targeted monitoring of semiconductor measurement quality

Methods and systems for measuring a complex semiconductor structure based on measurement data before and after a critical process step are presented. In some embodiments, the measurement is based on x-ray scatterometry measurement data. In one aspect, a measurement is based on fitting combined measurement data to a simplified geometric model of the measured structure. In some embodiments, the combined measurement data is determined by subtraction of a measured diffraction pattern before the critical process step from a measured diffraction pattern after the critical process step. In some embodiments, the simplified geometric model includes only the features affected by the critical process step. In another aspect, a measurement is based on a combined data set and a trained signal response metrology (SRM) model. In another aspect, a measurement is based on actual measurement data after the critical process step and simulated measurement data before the critical process step.

Methods and systems for combining x-ray metrology data sets to improve parameter estimation

The system includes a modulatable illumination source configured to illuminate a surface of a sample disposed on a sample stage, a detector configured to detect illumination emanating from a surface of the sample, illumination optics configured to direct illumination from the modulatable illumination source to the surface of the sample, collection optics configured to direct illumination from the surface of the sample to the detector, and a modulation control system communicatively coupled to the modulatable illumination source, wherein the modulation control system is configured to modulate a drive current of the modulatable illumination source at a selected modulation frequency suitable for generating illumination having a selected coherence feature length. In addition, the present invention includes the time-sequential interleaving of outputs of multiple light sources to generate periodic pulse trains for use in multi-wavelength time-sequential optical metrology.

Optical metrology tool equipped with modulated illumination sources

A self-calibrating overlay metrology system may receive device overlay data for a device targets on a sample from an overlay metrology tool, determine preliminary device overlay measurements for the device targets including device-scale features using an overlay recipe with the device overlay data as inputs, receive assist overlay data for one or more assist targets on the sample including device-scale features from the overlay metrology tool, where at least one of the one or more assist targets has a programmed overlay offset of a selected value along a particular measurement direction, determine self-calibrating assist overlay measurements for the one or more assist targets based on the assist overlay data, where the self-calibrating assist overlay measurements are linearly proportional to overlay on the sample, and generate corrected overlay measurements for the device targets by adjusting the preliminary device overlay measurements based on the self-calibrating assist overlay measurements.

Self-calibrating overlay metrology

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 method and system for measuring overlay in a semiconductor manufacturing process comprise capturing an image of a feature in an article at a predetermined manufacturing stage, deriving a quantity of an image parameter from the image and converting the quantity into an overlay measurement. The conversion is by reference to an image parameter quantity derived from a reference image of a feature at the same predetermined manufacturing stage with known overlay ('OVL'). There is also disclosed a method of determining a device inspection recipe for use by an inspection tool comprising identifying device patterns as candidate device care areas that may be sensitive to OVL, deriving an OVL response for each identified pattern, correlating the OVL response with measured OVL, and selecting some or all of the device patterns as device care areas based on the correlation.

Measurement of overlay error using device inspection system

An interferometric overlay tool may include an interferometer and a controller. The interferometer may include one or more beamsplitters to split illumination including one or more wavelengths into a probe beam along a probe path and a reference beam along a reference path, one or more illumination optics to illuminate a grating-over-grating structure with the probe beam, one or more collection optics to collect a measurement beam from the grating-over-grating structure, one or more beam combiners to combine the measurement beam and the reference beam as an interference beam, and a variable phase delay configured to vary an optical path difference (OPD) in the interferometer. The controller may receive one or more interference signals representative of interferometric phase data associated with a plurality of OPD values and the one or more wavelengths from a detector and determine an overlay error of the grating-over-grating structure based on the interferometric phase data.

Overlay metrology using spectroscopic phase

Methods and systems for performing overlay and edge placement errors based on Soft X-Ray (SXR) scatterometry measurement data are presented herein. Short wavelength SXR radiation focused over a small illumination spot size enables measurement of design rule targets or in-die active device structures. In some embodiments, SXR scatterometry measurements are performed with SXR radiation having energy in a range from 10 to 5,000 electronvolts. As a result, measurements at SXR wavelengths permit target design at process design rules that closely represents actual device overlay. In some embodiments, SXR scatterometry measurements of overlay and shape parameters are performed simultaneously from the same metrology target to enable accurate measurement of Edge Placement Errors. In another aspect, overlay of aperiodic device structures is estimated based on SXR measurements of design rule targets by calibrating the SXR measurements to reference measurements of the actual device target.

Methods and systems for overlay measurement based on soft X-ray Scatterometry

An overlay metrology system may receive overlay data for in-die overlay targets within various fields on a skew training sample from one or more overlay metrology tools, wherein the in-die overlay targets within the fields have a range programmed overlay offsets, wherein the fields are fabricated with a range of programmed skew offsets. The system may further generate asymmetric target signals for the in-die overlay targets using an asymmetric function providing a value of zero when physical overlay is zero and a sign indicative of a direction of physical overlay. The system may further generate corrected overlay offsets for the in-die overlay targets on the asymmetric target signals, generate self-calibrated overlay offsets for the in-die overlay targets based on the programmed overlay offsets and the corrected overlay offsets, generate a trained overlay recipe, and generate overlay measurements for in-die overlay targets on additional samples using the trained overlay recipe.

Self-calibrated overlay metrology using a skew training sample

A self-calibrating overlay metrology system may receive device overlay data from device targets on a sample, determine preliminary device overlay measurements for the device targets including device-scale features using an overlay recipe with the device overlay data as inputs, receive assist overlay data from sets of assist targets on the sample including device-scale features, where a particular set of assist targets includes one or more target pairs formed with two overlay targets having programmed overlay offsets of a selected value with opposite signs along a particular measurement direction. The system may further determine self-calibrating assist overlay measurements for the sets of assist targets based on the assist overlay data, where the self-calibrating assist overlay measurements are linearly proportional to overlay on the sample, and generate corrected overlay measurements for the device targets by adjusting the preliminary device overlay measurements based on the self-calibrating assist overlay measurements.

A metrology system is disclosed. In one embodiment, the metrology system includes a controller communicatively coupled to a reference metrology tool and an optical metrology tool, the controller including one or more processors configured to: generate a geometric model for determining a profile of a test HAR structure from metrology data from a reference metrology tool; generate a material model for determining one or more material parameters of a test HAR structure from metrology data from the optical metrology tool; form a composite model from the geometric model and the material model; measure at least one additional test HAR structure with the optical metrology tool; and determine a profile of the at least one additional test HAR structure based on the composite model and metrology data from the optical metrology tool associated with the at least one HAR test structure.

Loosely-coupled inspection and metrology system for high-volume production process monitoring

Methods and systems for measuring structural and material characteristics of semiconductor structures based on combined x-ray reflectometry (XRR) and x-ray photoelectron spectroscopy (XPS) are presented herein. A combined XRR and XPS system includes an x-ray illumination source and x-ray illumination optics shared by both the XRR and XPS measurement subsystems. This increases throughput and measurement accuracy by simultaneously collecting XRR and XPS measurement data from the same area of the wafer. A combined XRR and XPS system improves measurement accuracy by employing XRR measurement data to improve measurements performed by the XPS subsystem, and vice-versa. In addition, a combined XRR and XPS system enables simultaneous analysis of both XRR and XPS measurement data to more accurately estimate values of one of more parameters of interest. In a further aspect, any of measurement spot size, photon flux, beam shape, beam diameter, and illumination energy are independently controlled.

Systems and methods for combined reflectometry and photoelectron spectroscopy

Growing community of inventors

Campbell, CA, United States of America

Andrei V Shchegrov