Literature DB >> 19414268

Two-dimensional quantitative mapping of arsenic in nanometer-scale silicon devices using STEM EELS-EDX spectroscopy.

G Servanton1, R Pantel, M Juhel, F Bertin.   

Abstract

Field emission gun (FEG) nanoprobe scanning electron transmission microscopy (STEM) techniques coupled with energy dispersive X-ray (EDX) and electron energy loss spectroscopy (EELS) are evaluated for the detection of the n-type dopant arsenic, in silicon semiconductor devices with nanometer-scale. Optimization of the experimental procedure, data extraction and the signal-to-noise ratio versus electron dose, show that arsenic detection below 0.1% should be possible. STEM EDX and EELS spectrum profiles have been quantified and compared with secondary ion mass spectrometry (SIMS) analyses which show a good agreement. In addition, the arsenic doping level found inside large and small epitaxial devices have been compared using STEM EDX-EELS profiling. The average doping level is found to be similar but variable interface segregation has been observed. Finally, STEM EDX arsenic mapping acquired in a BiCMOS transistor cross-section shows strong heterogeneities and segregation in the epitaxially grown emitter part.

Entities:  

Year:  2009        PMID: 19414268     DOI: 10.1016/j.micron.2009.04.003

Source DB:  PubMed          Journal:  Micron        ISSN: 0968-4328            Impact factor:   2.251


  2 in total

1.  Absence of evidence ≠ evidence of absence: statistical analysis of inclusions in multiferroic thin films.

Authors:  Michael Schmidt; Andreas Amann; Lynette Keeney; Martyn E Pemble; Justin D Holmes; Nikolay Petkov; Roger W Whatmore
Journal:  Sci Rep       Date:  2014-07-16       Impact factor: 4.379

2.  Nondestructive, high-resolution, chemically specific 3D nanostructure characterization using phase-sensitive EUV imaging reflectometry.

Authors:  Michael Tanksalvala; Christina L Porter; Yuka Esashi; Bin Wang; Nicholas W Jenkins; Zhe Zhang; Galen P Miley; Joshua L Knobloch; Brendan McBennett; Naoto Horiguchi; Sadegh Yazdi; Jihan Zhou; Matthew N Jacobs; Charles S Bevis; Robert M Karl; Peter Johnsen; David Ren; Laura Waller; Daniel E Adams; Seth L Cousin; Chen-Ting Liao; Jianwei Miao; Michael Gerrity; Henry C Kapteyn; Margaret M Murnane
Journal:  Sci Adv       Date:  2021-01-27       Impact factor: 14.136

  2 in total

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