Literature DB >> 33033553

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

Daniel F Sunday1, R Joseph Kline1.   

Abstract

Optimizing the extraction of information from x-ray measurements while minimizing exposure time is an important area of research in a variety of fields. The semiconductor industry is reaching a point where the traditional optical metrologies need to be augmented in order to better resolve the critical dimensions of structures with feature sizes below 10 nm. Critical dimension small angle x-ray scattering (CDSAXS) is one measurement technique that is capable of characterizing detailed features of periodic nanostructures. As currently implemented, the measurement utilizes the combined scattering from up to 60 different angles. Reducing the number of angles would dramatically improve the feasibility of CDSAXS for implementation in a fabrication setting, but currently there are no clear guidelines as to which angles provide the most information to minimize the uncertainty in the shape of the target structure while maximizing the throughput. In order to develop guidelines for optimizing the angle selection, simulation studies were conducted on a wide variety of structures with subsets of the full angular range to identify which angles minimized the overall shape uncertainty. Analyzing sets of two angle pairs (including all combinations between 0 deg and 60 deg) provides guidance on which angles best constrain the samples. For select samples, higher numbers of angles were included to explore the impact of additional information on the model uncertainty. In general, low angles (<3 deg) best contributed to minimizing the line-width uncertainty, while higher angles near high curvature regions of the scattering profile best constrained the height of the structure. The minimum uncertainty was generally achieved with combinations of the two. This simulation approach can be used to minimize the number of angles measured on real samples and significantly reduce the measurement time.

Entities:  

Keywords:  critical dimension; metrology; simulations; x-rays

Year:  2018        PMID: 33033553      PMCID: PMC7539628     

Source DB:  PubMed          Journal:  J Micro Nanolithogr MEMS MOEMS        ISSN: 1932-5150            Impact factor:   1.220


  11 in total

1.  Sensitivity analysis of grating parameter estimation.

Authors:  Petre C Logofătu
Journal:  Appl Opt       Date:  2002-12-01       Impact factor: 1.980

2.  Size and shape of micelles studied by means of SANS, PCS, and FCS.

Authors:  Jacek Gapiński; Jedrzej Szymański; Agnieszka Wilk; Joachim Kohlbrecher; Adam Patkowski; Robert Hołyst
Journal:  Langmuir       Date:  2010-06-15       Impact factor: 3.882

3.  Assemblies of thermoresponsive diblock copolymers: micelle and vesicle formation investigated by means of dielectric relaxation spectroscopy.

Authors:  G Masci; R D Ladogana; C Cametti
Journal:  J Phys Chem B       Date:  2012-02-08       Impact factor: 2.991

4.  Structure of nonionic surfactant (glycerol alpha-monomyristate) micelles in organic solvents: a SAXS study.

Authors:  Lok Kumar Shrestha; Otto Glatter; Kenji Aramaki
Journal:  J Phys Chem B       Date:  2009-05-07       Impact factor: 2.991

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

Authors:  J S Villarrubia; A E Vladár; B Ming; R J Kline; D F Sunday; J S Chawla; S List
Journal:  Ultramicroscopy       Date:  2015-02-20       Impact factor: 2.689

6.  Direct structural characterisation of line gratings with grazing incidence small-angle x-ray scattering.

Authors:  Jan Wernecke; Frank Scholze; Michael Krumrey
Journal:  Rev Sci Instrum       Date:  2012-10       Impact factor: 1.523

7.  Radiation damage in protein crystals is reduced with a micron-sized X-ray beam.

Authors:  Ruslan Sanishvili; Derek W Yoder; Sudhir Babu Pothineni; Gerd Rosenbaum; Shenglan Xu; Stefan Vogt; Sergey Stepanov; Oleg A Makarov; Stephen Corcoran; Richard Benn; Venugopalan Nagarajan; Janet L Smith; Robert F Fischetti
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-28       Impact factor: 11.205

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.  Low-dose X-ray CT reconstruction via dictionary learning.

Authors:  Qiong Xu; Hengyong Yu; Xuanqin Mou; Lei Zhang; Jiang Hsieh; Ge Wang
Journal:  IEEE Trans Med Imaging       Date:  2012-04-20       Impact factor: 10.048

Review 10.  Strategies for CT radiation dose optimization.

Authors:  Mannudeep K Kalra; Michael M Maher; Thomas L Toth; Leena M Hamberg; Michael A Blake; Jo-Anne Shepard; Sanjay Saini
Journal:  Radiology       Date:  2004-01-22       Impact factor: 11.105

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