Abstract:
Metrology methods, modules and targets are provided, for measuring tilted device designs. The methods analyze and optimize target design with respect to the relation of the Zernike sensitivity of pattern placement errors (PPEs) between target candidates and device designs. Monte Carlo methods may be applied to enhance the robustness of the selected target candidates to variation in lens aberration and/or in device designs. Moreover, considerations are provided for modifying target parameters judiciously with respect to the Zernike sensitivities to improve metrology measurement quality and reduce inaccuracies.
Abstract:
1 N 1-1 O O 1-1 00 O N C (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 07 September 2018 (07.09.2018) WIP0 I PCT IiiimmoinionotiolomomioollmiooliolomovoimIE (10) International Publication Number WO 2018/160502 Al A (51) International Patent Classification: HO1L 21/66 (2006.01) (21) International Application Number: PCT/US2018/019793 (22) International Filing Date: 27 February 2018 (27.02.2018) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 62/464,382 28 February 2017 (28.02.2017) US 62/591,104 27 November 2017 (27.11.2017) US (71) Applicant: KLA-TENCOR CORPORATION [US/US]; Legal Department, One Technology Drive, Milpitas, Cali- fornia 95035 (US). (72) Inventors: GUREVICH, Evgeni; Hardufim Str. 12/7, 2063212 Yokneam Illit (IL). ADEL, Michael E.; 14 Yi- gal Alon Street, 30900 Ya'akov Zichron (IL). GRON- HEID, Roel; Sint Jansbergsesteenweg 83, 3001 Leuven (BE). FELER, Yoel; Derech Yad LeBanim 82/2, 32163 Haifa (IL). LEVINSKI, Vladimir; Hermon 9, 23100 Migdal HaEmek (IL). KLEIN, Dana; Alexander Yanai 23, Carmeliya, 34816 Haifa (IL). AHARON, Sharon; Yuval 40, 1796000 Hanaton (IL). (74) Agent: MCANDREWS, Kevin et al.; KLA-Tencor Corp., Legal Department, One Technology Drive, Milpitas, Cali- fornia 95035 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (54) Title: DETERMINING THE IMPACTS OF STOCHASTIC BEHAVIOR ON OVERLAY METROLOGY DATA MEASUREMENT MODEL CPE EIHO—W3F1
Abstract:
PROCESS PARAMETERS 110-, \ INPUT MODULE CURRENT LAYER (SIMULATION OR DATA) PREVIOUS LAYER {SIMULATION OR DATA) WAFER PRODUCER 49 - \"\" OR TARGET DESIGNER 94- 1 TARGET PARAMETERS 96-. P ETROLOGY CONDITIDNS 4 h\"NRESHOLD 132 ,>c •1 2 92 P I40, TARGET OPI1MIZATION MODULE ORMAICF MORN i -129 7 123-- UROLOGY METMCS MODULE P 124-z- METROLOGY NEIRCS PROCESS ERIC'S 13°- \ SENSITNITY ANALYSIS MODULE 11 \ 20 \ - tRAW DATA METROLOGY SIMUALTION 78. \"\ t COARSE TARGET FILTDRING ure 1 TARGET AND PROCESS SENSITIVITY ANALYSIS TO REQUIREMENTS . Systems and method are provided for analyzing target, process and metrology configuration sensitivities to a wide range of parameters, according to external requirements or inner development and verification neals. Systems comprise the follow- ing elements. An input module is arranged to receive parameters relating to targets, target metrology conditions and production pro- cesses, to generate target data. A metrology simulation unit is arranged to simulate metrology measurements of targets from the tar- get data and to generate multiple metrics that quantify the simulated target measurements. A sensitivity analysis module is arranged to derive functional dependencies of the metrics on the parameters and to define required uncertainties of the parameters with respect to the derived functional dependencies. Finally, a target optimization module is arranged to rank targets and target metrology condi- tions with respect to the simulated target measurements. 90, 25
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 of characterizing a process by selecting the process to characterize, selecting a parameter of the process to characterize, determining values of the parameter to use in a test matrix, specifying an eccentricity for the test matrix, selecting test structures to be created in cells on a substrate, processing the substrate through the process using in each cell the value of the parameter as determined by the eccentric test matrix, measuring a property of the test structures in the cells, and developing a correlation between the parameter and the property.
Abstract:
A metrology target design may be optimized using inputs including metrology target design information, substrate information, process information, and metrology system information. Acquisition of a metrology signal with a metrology system may be modeled using the inputs to generate one or more optical characteristics of the metrology target. A metrology algorithm may be applied to the characteristics to determine a predicted accuracy and precision of measurements of the metrology target made by the metrology system. Part of the information relating to the metrology target design may be modified and the signal modeling and metrology algorithm may be repeated to optimize the accuracy and precision of the one or more measurements. The metrology target design may be displayed or stored after the accuracy and precision are optimized.
Abstract:
Metrology may be implemented during semiconductor device fabrication by a) modeling a first measurement on a first test cell formed in a layer of a partially fabricated device; b) performing a second measurement on a second test cell in the layer; c) feeding information from the second measurement into the modeling of the first measurement; and after a lithography pattern has been formed on the layer including the first and second test cells, d) modeling a third and a fourth measurement on the first and second test cells respectively using information from a) and b) respectively.
Abstract:
A metrology target design may be optimized using inputs including metrology target design information, substrate information, process information, and metrology system information. Acquisition of a metrology signal with a metrology system may be modeled using the inputs to generate one or more optical characteristics of the metrology target. A metrology algorithm may be applied to the characteristics to determine a predicted accuracy and precision of measurements of the metrology target made by the metrology system. Part of the information relating to the metrology target design may be modified and the signal modeling and metrology algorithm may be repeated to optimize the accuracy and precision of the one or more measurements. The metrology target design may be displayed or stored after the accuracy and precision are optimized.