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Title: Microfabrication of a gadolinium-derived solid-state sensor for thermal neutrons

Abstract

Neutron sensing is critical in civilian and military applications. Conventional neutron sensors are limited by size, weight, cost, portability and helium supply. Here in this study, the microfabrication of gadolinium (Gd) conversion material–based heterojunction diodes for detecting thermal neutrons using electrical signals produced by internal conversion electrons (ICEs) is described. Films with negligible stress were produced at the tensile-compressive crossover point, enabling Gd coatings of any desired thickness by controlling the radiofrequency sputtering power and using the zero-point near p(Ar) of 50 mTorr at 100 W. Post-deposition Gd oxidation–induced spallation was eliminated by growing a residual stress-free 50 nm neodymium-doped aluminum cap layer atop Gd. The resultant coatings were stable for at least 6 years, demonstrating excellent stability and product shelf-life. Depositing Gd directly on the diode surface eliminated the air gap, leading to a 200-fold increase in electron capture efficiency and facilitating monolithic microfabrication. The conversion electron spectrum was dominated by ICEs with energies of 72, 132 and 174 keV. Results are reported for neutron reflection and moderation by polyethylene for enhanced sensitivity, and γ- and X-ray elimination for improved specificity. The optimal Gd thickness was 10.4 μm for a 300 μm-thick partially depleted diode of 300 mm2 activemore » surface area. Fast detection (within 10 min) at a neutron source-to-diode distance of 11.7 cm was achieved with this configuration. All ICE energies along with γ-ray and Kα,β X-rays were modeled to emphasize correlations between experiment and theory. Semi-conductor thermal neutron detectors offer advantages for field-sensing of radioactive neutron sources.« less

Authors:
 [1];  [1];  [2];  [3];  [4];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Nano and Micro Sensors Dept.
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Technical Analysis Dept.
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). AUR Systems Engineering Dept.
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Nanoscale Sciences Dept.
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1361653
Report Number(s):
SAND-2016-9444J
Journal ID: ISSN 0449-3060; 647638
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Radiation Research
Additional Journal Information:
Journal Volume: 1-10; Journal ID: ISSN 0449-3060
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; gadolinium converter; thermal neutron sensor; semi-conductor; microfabrication; device development; testing; solid-state neutron sensor

Citation Formats

Pfeifer, Kent B., Achyuthan, Komandoor E., Allen, Matthew, Denton, Michele L. B., Siegal, Michael P., and Manginell, Ronald P. Microfabrication of a gadolinium-derived solid-state sensor for thermal neutrons. United States: N. p., 2017. Web. doi:10.1093/jrr/rrx010.
Pfeifer, Kent B., Achyuthan, Komandoor E., Allen, Matthew, Denton, Michele L. B., Siegal, Michael P., & Manginell, Ronald P. Microfabrication of a gadolinium-derived solid-state sensor for thermal neutrons. United States. https://doi.org/10.1093/jrr/rrx010
Pfeifer, Kent B., Achyuthan, Komandoor E., Allen, Matthew, Denton, Michele L. B., Siegal, Michael P., and Manginell, Ronald P. Sat . "Microfabrication of a gadolinium-derived solid-state sensor for thermal neutrons". United States. https://doi.org/10.1093/jrr/rrx010. https://www.osti.gov/servlets/purl/1361653.
@article{osti_1361653,
title = {Microfabrication of a gadolinium-derived solid-state sensor for thermal neutrons},
author = {Pfeifer, Kent B. and Achyuthan, Komandoor E. and Allen, Matthew and Denton, Michele L. B. and Siegal, Michael P. and Manginell, Ronald P.},
abstractNote = {Neutron sensing is critical in civilian and military applications. Conventional neutron sensors are limited by size, weight, cost, portability and helium supply. Here in this study, the microfabrication of gadolinium (Gd) conversion material–based heterojunction diodes for detecting thermal neutrons using electrical signals produced by internal conversion electrons (ICEs) is described. Films with negligible stress were produced at the tensile-compressive crossover point, enabling Gd coatings of any desired thickness by controlling the radiofrequency sputtering power and using the zero-point near p(Ar) of 50 mTorr at 100 W. Post-deposition Gd oxidation–induced spallation was eliminated by growing a residual stress-free 50 nm neodymium-doped aluminum cap layer atop Gd. The resultant coatings were stable for at least 6 years, demonstrating excellent stability and product shelf-life. Depositing Gd directly on the diode surface eliminated the air gap, leading to a 200-fold increase in electron capture efficiency and facilitating monolithic microfabrication. The conversion electron spectrum was dominated by ICEs with energies of 72, 132 and 174 keV. Results are reported for neutron reflection and moderation by polyethylene for enhanced sensitivity, and γ- and X-ray elimination for improved specificity. The optimal Gd thickness was 10.4 μm for a 300 μm-thick partially depleted diode of 300 mm2 active surface area. Fast detection (within 10 min) at a neutron source-to-diode distance of 11.7 cm was achieved with this configuration. All ICE energies along with γ-ray and Kα,β X-rays were modeled to emphasize correlations between experiment and theory. Semi-conductor thermal neutron detectors offer advantages for field-sensing of radioactive neutron sources.},
doi = {10.1093/jrr/rrx010},
journal = {Journal of Radiation Research},
number = ,
volume = 1-10,
place = {United States},
year = {2017},
month = {3}
}

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