Literature DB >> 25747180

Scanning electron microscope measurement of width and shape of 10nm patterned lines using a JMONSEL-modeled library.

J S Villarrubia1, A E Vladár2, B Ming2, R J Kline3, D F Sunday3, J S Chawla4, S List4.   

Abstract

The width and shape of 10nm to 12 nm wide lithographically patterned SiO2 lines were measured in the scanning electron microscope by fitting the measured intensity vs. position to a physics-based model in which the lines' widths and shapes are parameters. The approximately 32 nm pitch sample was patterned at Intel using a state-of-the-art pitch quartering process. Their narrow widths and asymmetrical shapes are representative of near-future generation transistor gates. These pose a challenge: the narrowness because electrons landing near one edge may scatter out of the other, so that the intensity profile at each edge becomes width-dependent, and the asymmetry because the shape requires more parameters to describe and measure. Modeling was performed by JMONSEL (Java Monte Carlo Simulation of Secondary Electrons), which produces a predicted yield vs. position for a given sample shape and composition. The simulator produces a library of predicted profiles for varying sample geometry. Shape parameter values are adjusted until interpolation of the library with those values best matches the measured image. Profiles thereby determined agreed with those determined by transmission electron microscopy and critical dimension small-angle x-ray scattering to better than 1 nm. Published by Elsevier B.V.

Entities:  

Keywords:  Critical dimension (CD); Critical dimension small angle x-ray scattering (CD-SAXS); Dimensional metrology; Model-based dimensional metrology; Scanning electron microscopy (SEM); Simulation; Transmission electron microscopy (TEM)

Year:  2015        PMID: 25747180     DOI: 10.1016/j.ultramic.2015.01.004

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  11 in total

1.  Conventional vs. model-based measurement of patterned line widths from scanning electron microscopy profiles.

Authors:  Francesc Salvat-Pujol; John S Villarrubia
Journal:  Ultramicroscopy       Date:  2019-07-31       Impact factor: 2.689

2.  An a posteriori Error Estimate for Scanning Electron Microscope Simulation with Adaptive Mesh Refinement.

Authors:  William F Mitchell; John S Villarrubia
Journal:  J Sci Comput       Date:  2019       Impact factor: 2.592

3.  Virtual rough samples to test 3D nanometer-scale scanning electron microscopy stereo photogrammetry.

Authors:  J S Villarrubia; V N Tondare; A E Vladár
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-08

4.  Enabling Quantitative Optical Imaging for In-die-capable Critical Dimension Targets.

Authors:  B M Barnes; M-A Henn; M Y Sohn; H Zhou; R M Silver
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-25

5.  Three-Dimensional (3D) Nanometrology Based on Scanning Electron Microscope (SEM) Stereophotogrammetry.

Authors:  Vipin N Tondare; John S Villarrubia; András E Vladár
Journal:  Microsc Microanal       Date:  2017-09-18       Impact factor: 4.127

6.  Methodology for evaluating the information distribution in small angle scattering from periodic nanostructures.

Authors:  Daniel F Sunday; R Joseph Kline
Journal:  J Micro Nanolithogr MEMS MOEMS       Date:  2018       Impact factor: 1.220

7.  Optimizing Hybrid Metrology: Rigorous Implementation of Bayesian and Combined Regression.

Authors:  Mark-Alexander Henn; Richard M Silver; John S Villarrubia; Nien Fan Zhang; Hui Zhou; Bryan M Barnes; Bin Ming; András E Vladár
Journal:  J Micro Nanolithogr MEMS MOEMS       Date:  2015 Oct-Dec       Impact factor: 1.220

8.  Advancing X-ray scattering metrology using inverse genetic algorithms.

Authors:  Adam F Hannon; Daniel F Sunday; Donald Windover; R Joseph Kline
Journal:  J Micro Nanolithogr MEMS MOEMS       Date:  2016-07-07       Impact factor: 1.220

9.  Comparison of Electron Imaging Modes for Dimensional Measurements in the Scanning Electron Microscope.

Authors:  Michael T Postek; András E Vladár; John S Villarrubia; Atsushi Muto
Journal:  Microsc Microanal       Date:  2016-07-25       Impact factor: 4.127

10.  Future directions on low-energy radiation dosimetry.

Authors:  G Massillon-Jl
Journal:  Sci Rep       Date:  2021-05-19       Impact factor: 4.379

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