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Record W1551216461 · doi:10.1109/intmag.2015.7157348

Tailoring magnetic properties in well order magnetic nanotstructures prepared by ALD technique

2015· article· en· W1551216461 on OpenAlex
Yi Zhang, Ming Liu, Lei Zhang, Z. Ye

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue2015 IEEE Magnetics Conference (INTERMAG) · 2015
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsParamagnetismFerrimagnetismMaterials scienceFerromagnetismAtomic layer depositionCondensed matter physicsMagnetic momentMagnetic domainMagnetizationAmorphous solidNanotechnologyGrain sizeThin filmCrystalliteNuclear magnetic resonanceMagnetic fieldPhysicsChemistryCrystallographyMetallurgy

Abstract

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Super paramagnetism, as one of the most fascinating magnetic phenomena, has been widely used in electronics, magnetic imaging, cell separation, drug delivery and cancer therapy. Super paramagnetism typically appears in a sufficient small magnetic nanoparticle, where the magnetic moment flips randomly with the thermal fluctuations. Once the size of the particle increasing, resulting in the magnetic domain merging and domain wall motion, the magnetic property undergoes a transition from the super paramagnetism to the ferromagnetism. Therefore, preparation of super paramagnetic thin films and nanostructure, instead of particles, would be a challenge since the film structure favors the formation of the large ferromagnetic domains in high-energy growth modes <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1-2]</sup> . This results in a large grain size and magnetic domain. Atomic layer deposition (ALD), featured with self-limiting surface reaction, is used to synthesize the thin films and nanostructures due to its precise control of the thickness at monolayer atomic level and conformal deposition with low energy. Most of ALD deposited oxide thin films are found to be polycrystalline or amorphous with very small grain size, which is ideal for the preparation of super paramagnetic thin films and nano-structure. One of the key challenges in realizing super paramagnetism is to find a low-energy growth way to create sufficient small grains and magnetic domains which allow the magnetization randomly and rapidly reverse. In this work, well-defined super paramagnetic and ferrimagnetic Fe <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> thin films and well-ordered Fe <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> nanootube arrays are successfully grown using atomic layer deposition (ALD) technique by finely optimizing the growth condition and post-annealing process. As-grown Fe <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> thin films and nanotube arrays exhibit a conformal surface and nanocrystalline nature with the average grain size just few nanometers, resulting in a super paramagnetic behavior with a blocking temperature of 210 K (figure 1b). The in-situ grown iron oxide thin films exhibit a well-controlled morphology with the grain size less than 5 nm. The well-defined super paramagnetic loops are observed showing a near zero coercive field for the Fe <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> thin films (figure 1a). Super paramagnetic Fe <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> nanotube arrays (figure 1d-e) are in situ obtained by finely tuning the growth condition and the level of oxidization. The evolution of super papramagnetism is related to the atom-by-atom growth at a low temperature results in a very small grain size. After post-annealing the thin films in H <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> /Ar mixture atmosphere at 400 °C, the magnetic ordering of the magnetite films and nanotube arrays undergoes a transition from superparamagnetism to ferrimagnetism, exhibiting a distinct magnetic anisotropy.(figure 1c) Atomic layer deposition of magnetite thin films and well-ordered nanotube arrays with well-controlled morphology and magnetic properties provides great opportunities for integrating with other order parameters to realize magnetic nano-devices with potential applications in spintronics, electronics, and bio-applications. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[3-4]</sup>

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.246
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it