Kla Tencor Corporation

Tokyo Electron Limited

Kla Corporation

Georgia Tech Research Corporation

Alliedsignal Inc.

Kla-tencor Technologies Corporation

Litepoint Corporation

Kla-tenor Corp.

Qiang Zhao

John Fielden

Leonid Poslavsky

Ming Di

Torsten Rudolf Kaack

Zhengquan Tan

Dawei Hu

Andrei V Shchegrov

Liequan Lee

Lie-Quan Lee

Hanyou Chu

Xinkang Tian

Xiang Gao

Houssam Chouaib

Holger Tuitje

Ching Ling Meng

Natalia Malkova

Meng Cao

Mengmeng Ye

Heyin Li

Jeffrey Smith

Robert Daniel Clark

Kandabara N Tapily

Stilian Pandev

Angelique Denise Raley

Paul Albert Kohl

Alexander Kuznetsov

Aaron J Rosenberg

Sue Ann Bidstrup Allen

Tianhan Wang

Christian Volf Olgaard

Fei Li

Shing Lee

Gary Janik

Philip D Flanner, Iii

Jonathan Iloreta

Manh Dang Nguyen

John Lesoine

Michael S Bakeman

Tian-An Chen

Hong Qiu

Zhiming Jiang

Sungchul Yoo

Kreisler S Y Lau

Scott Penner

Matthew A Laffin

Jun-Jie Ye

Qiang Wang

Torsten Kaack

An apparatus for in-situ etching monitoring in a plasma processing chamber includes a continuous wave broadband light source, an illumination system configured to illuminate an area on a substrate with an incident light beam being directed from the continuous wave broadband light source at normal incidence to the substrate, a collection system configured to collect a reflected light beam being reflected from the illuminated area on the substrate, and to direct the reflected light beam to a first light detector, and a controller. The controller is configured to determine a property of the substrate or structures formed thereupon based on a reference light beam and the reflected light beam, and control an etch process based on the determined property. The reference light beam is generated by the illumination system by splitting a portion of the incident light beam and directed to a second light detector.

Normal-incidence in-situ process monitor sensor

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

This disclosure relates to a method for using a high volume manufacturing system for processing and measuring workpieces in a semiconductor processing sequence without leaving the system's controlled environment (e.g., sub-atmospheric pressure). The system includes an active interdiction control system to implement corrective processing within the system when a non-conformity is detected. The corrective processing method can include a remedial process sequence to correct the non-conformity or compensate for the non-conformity during subsequent process. The non-conformity may be associated with fabrication measurement data, process parameter data, and/or platform performance data.

Self-aware and correcting heterogenous platform incorporating integrated semiconductor processing modules and method for using same

An apparatus, a system, and a method for in-situ etching monitoring in a plasma processing chamber are provided. The apparatus includes a continuous wave broadband light source to generate incident light beam, an illumination system configured to illuminate an area on a substrate with an incident light beam being directed at normal incidence to the substrate, a collection system configured to collect a reflected light beam being reflected from the illuminated area on the substrate, and direct the reflected light beam to a detector, and processing circuitry. The processing circuitry is configured to process the reflected light beam to suppress background light, determine a property of the substrate or structures formed thereupon based on reference light beam and the reflected light beam that are processed to suppress the background light, and control an etch process based on the determined property.

Normal-incident in-situ process monitor sensor

This disclosure relates to a high volume manufacturing system for processing and measuring workpieces in a semiconductor processing sequence without leaving the system's controlled environment (e.g., sub-atmospheric pressure). The system includes an active interdiction control system to implement corrective processing within the system when a non-conformity is detected. The corrective processing can include a remedial process sequence to correct the non-conformity or compensate for the non-conformity during subsequent process. The non-conformity may be associated with fabrication measurement data, process parameter data, and/or platform performance data.

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 models of semiconductor structures capable of accurate characterization of defects in high-K dielectric layers and embedded nanostructures are presented. In one example, the optical dispersion model includes a continuous Cody-Lorentz model having continuous first derivatives that is sensitive to a band gap of a layer of the unfinished, multi-layer semiconductor wafer. These models quickly and accurately represent experimental results in a physically meaningful manner. The model parameter values can be subsequently used to gain insight and control over a manufacturing process.

Dispersion model for band gap tracking

Methods and systems for optimizing a set of measurement library control parameters for a particular metrology application are presented herein. Measurement signals are collected from one or more metrology targets by a target measurement system. Values of user selected parameters of interest are resolved by fitting a pre-computed measurement library function to the measurement signals for a given set of library control parameters. Values of one or more library control parameters are optimized such that differences between the values of the parameters of interest estimated by the library based measurement and reference values associated with trusted measurements of the parameters of interest are minimized. The optimization of the library control parameter values is performed without recalculating the pre-computed measurement library. Subsequent library based measurements are performed by the target measurement system using the optimized set of measurement library control parameters with improved measurement performance.

Measurement library optimization in semiconductor metrology

Systems and methods for providing efficient modeling and measurement of critical dimensions and/or overlay registrations of wafers are disclosed. Efficiency is improved in both spectral dimension and temporal dimension. In the spectral dimension, efficiency can be improved by allowing different numerical aperture (NA) models to be used for different wavelengths in electromagnetic calculations, effectively providing a balance between computation speed and accuracy. In the temporal dimension, different NA models may be used at different iterations/stages in the process, effectively improving the computation speed without sacrificing the quality of the final result.

Adaptive numerical aperture control method and system

Methods and systems for evaluating and ranking the measurement efficacy of multiple sets of measurement system combinations and recipes for a particular metrology application are presented herein. Measurement efficacy is based on estimates of measurement precision, measurement accuracy, correlation to a reference measurement, measurement time, or any combination thereof. The automated the selection of measurement system combinations and recipes reduces time to measurement and improves measurement results. Measurement efficacy is quantified by a set of measurement performance metrics associated with each measurement system and recipe. In one example, the sets of measurement system combinations and recipes most capable of measuring the desired parameter of interest are presented to the user in rank order based on corresponding values of one or more measurement performance metrics. A user is able to select the appropriate measurement system combination in an objective, quantitative manner.

Automated metrology system selection

Methods and systems for performing optical, model based measurements of a small sized semiconductor structure employing an anisotropic characterization of the optical dispersion properties of one or more materials comprising the structure under measurement are presented herein. This reduces correlations among geometric parameters and results in improved measurement sensitivity, improved measurement accuracy, and enhanced measurement contrast among multiple materials under measurement. In a further aspect, an element of a multidimensional tensor describing the dielectric permittivity of the materials comprising the structure is modelled differently from another element. In a further aspect, model based measurements are performed based on measurement data collected from two or more measurement subsystems combined with an anisotropic characterization of the optical dispersion of the materials under measurement. In another aspect, the characterization of the optical dispersion of one or more materials comprising the structure under measurement depends on the geometry of the structure.

Model based optical measurements of semiconductor structures with anisotropic dielectric permittivity

A system, method, and computer program product are provided for automatically determining a parameter causing an abnormal semiconductor metrology measurement. In use, an abnormal semiconductor metrology measurement measured from a fabricated semiconductor component is received. At least one parameter of the fabricated semiconductor component causing the abnormal semiconductor metrology measurement is then automatically determined by one or more hardware processors. In particular, the one or more hardware processors determine a subset of parameters of the fabricated semiconductor component as potential sources of the abnormal semiconductor metrology measurement, rank the parameters in the determined subset of parameters, select an Nth number of the parameters in the determined subset of parameters in accordance with the ranking, and then analyze each of the selected parameters to identify one or more of the selected parameters as the at least one parameter of the fabricated semiconductor component causing the abnormal semiconductor metrology measurement.

System, method, and computer program product for automatically determining a parameter causing an abnormal semiconductor metrology measurement

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Milpitas, CA, United States of America

Qiang Zhao