Phase-sensitive specular neutron reflectometry for imaging the nanometer scale composition depth profile of thin-film materials

Kirby, Brian J.; Kienzle, Paul; Maranville, Brian B.; Berk, N. F.; Krycka, J.; Heinrich, Frank; Majkrzak, C. F.

doi:10.1016/j.cocis.2011.11.001

Cited by 177 publications

(179 citation statements)

References 50 publications

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“…At any time the user may generate a (Python) problem definition file for the powerful Refl1d [8] fitting program by pressing a button in the application. This definition is based on the current snapshot of the model as displayed in the application, and will essentially replicate the structure defined there in a way that is understood by Refl1d.…”

Section: # "Polarization": "++"mentioning

confidence: 99%

“…The reflectivity calculations are accomplished through wrapping of the C99 calculation kernels (polarized and unpolarized) in the Refl1d [8] fitting program, which were ported to javascript through Emscripten, after a slight modification to include Nevot-Croce roughness approximation in the magnetic calculations.…”

Section: Software Librariesmentioning

confidence: 99%

“…Multiple external, open-source software libraries were used to build this application, including the previously-mentioned ALGLIB [9] and Refl1D [8] programs.…”

Section: Software Librariesmentioning

confidence: 99%

See 2 more Smart Citations

Interactive, Web-Based Calculator of Neutron and X-ray Reflectivity

Maranville¹

2017

J. RES. NATL. INST. STAN.

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For many users of the neutron and X-ray reflectometry instruments at NIST, these measurements represent a relatively small and specialized part of their research portfolio. As such, providing calculation and modeling tools that are as accessible and easy-to-use as possible is a high priority of the facility. In order to meet this need, a purely web-browser-based calculator for reflectivity modeling and rudimentary fitting has been developed and provided on a publicly accessible web server. Going to https://www.ncnr.nist.gov/instruments/magik/calculators/reflectivity-calculator.html, will load a one-page web application into the browser. Any relatively modern browser with support for ECMAScript 5 will be able to load and run the application. A calculator for magnetic samples can be found at https://www.ncnr.nist.gov/instruments/magik/calculators/magnetic-reflectivity-calculator.html.

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Section: # "Polarization": "++"mentioning

confidence: 99%

Section: Software Librariesmentioning

confidence: 99%

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Interactive, Web-Based Calculator of Neutron and X-ray Reflectivity

Maranville¹

2017

J. RES. NATL. INST. STAN.

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“…PNR data were modeled using the Refl1D software package. 26,37 PNR of a capped/uncapped sample pair for a nominal Gd thickness of 10 nm is shown in Figure 2(top) as circles alongside a theoretical fit to the data (line), while Figure 2(bottom) shows the models used to fit the data. As expected, the thicknesses of the LSMO layers match extremely well.…”

mentioning

confidence: 99%

Reversible control of magnetism in La0.67Sr0.33MnO3 through chemically-induced oxygen migration

Grutter

Gilbert

Alaan

et al. 2016

Applied Physics Letters

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We demonstrate reversible control of magnetization and anisotropy in La0.67Sr0.33MnO3 films through interfacial oxygen migration. Gd metal capping layers deposited onto La0.67Sr0.33MnO3 leach oxygen from the film through a solid-state redox reaction to form porous Gd2O3. X-ray absorption and polarized neutron reflectometry measurements show Mn valence alterations consistent with high oxygen vacancy concentrations, resulting in suppressed magnetization and increased coercive fields. Effects of the oxygen migration are observed both at the interface and also throughout the majority of a 40 nm thick film, suggesting extensive diffusion of oxygen vacancies. After Gd-capped La0.67Sr0.33MnO3 is exposed to atmospheric oxygen for a prolonged period of time, oxygen diffuses through the Gd2O3 layer and the magnetization of the La0.67Sr0.33MnO3 returns to the uncapped value. These findings showcase perovskite heterostructures as ideal candidates for developing functional interfaces through chemically-induced oxygen migration.

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“…This model was found to fit the data better than 3 discrete layers with sharp interfaces, even at the highest applied fields. The 2 σ uncertainty for the high and low z magnetizations was calculated using a Markov chain Monte Carlo algorithm, [18][19][20] and was found to be less than 10 kA m −1 for all values.…”

mentioning

confidence: 99%

Effective anisotropy gradient in pressure graded [Co/Pd] multilayers

Kirby

Greene

Maranville

et al. 2015

Journal of Applied Physics

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A vertically graded anisotropy profile has been proposed as an optimized balance of low coercivity and thermal stability for multilayers used in magnetic media. Deposition pressure is known to have a profound effect on the magnetic reversal properties of Co/Pd multilayers, making it an attractive control parameter for achieving an anisotropy gradient. We have used polarized neutron reflectometry to study the depth-dependent reversal behavior of "pressure-graded" Co/Pd, and observed pronounced gradients in the saturation magnetization and in the rate at which magnetization changes with field (the effective anisotropy). While the anisotropy gradient likely arises from a combination of factors intrinsic to deposition pressure, micromagnetic simulations indicate that the observed saturation magnetization gradient alone has a major effect on the resulting coercivity.

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Phase-sensitive specular neutron reflectometry for imaging the nanometer scale composition depth profile of thin-film materials

Cited by 177 publications

References 50 publications

Interactive, Web-Based Calculator of Neutron and X-ray Reflectivity

Interactive, Web-Based Calculator of Neutron and X-ray Reflectivity

Reversible control of magnetism in La0.67Sr0.33MnO3 through chemically-induced oxygen migration

Effective anisotropy gradient in pressure graded [Co/Pd] multilayers

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