High-throughput screening of magnetic properties of quenched metallic-alloy thin-film composition spreads

Hattrick‐Simpers, Jason; Cui, Jun; Murakami, Makoto; Orozco, Antonio; Knauss, L.A.; Booth, R. J.; Greve, Edward W.; Lofland, S. E.; Wuttig, Manfred; Takeuchi, Ichiro

doi:10.1016/j.apsusc.2007.07.104

Cited by 18 publications

(10 citation statements)

References 12 publications

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“…6. None of the data sets follows either of the calculated lines across the full composition range, and we see no evidence of the two peaks seen by other workers [16,17].…”

Section: Magnetostriction Studycontrasting

confidence: 48%

“…Although the magnetostrictive properties are perhaps the most significant properties of Fe-Ga alloys, most of the reported work on Fe-Ga thin films has not investigated their magnetostriction [10][11][12][13][14][15]. Hattrick-Simpers et al [16,17] fabricated 500-600 nm thick Fe-Ga films by co-sputtering an Fe target and an Fe 2 Ga 3 target at 75 and 40 W, respectively, to achieve film compositions in the range of interest. They measured the effective saturation magnetostrictive constant (k eff ) using a cantilever deflection method.…”

Section: Introductionmentioning

confidence: 98%

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An investigation of the effect of structural order on magnetostriction and magnetic behavior of Fe–Ga alloy thin films

et al. 2010

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“…6. None of the data sets follows either of the calculated lines across the full composition range, and we see no evidence of the two peaks seen by other workers [16,17].…”

Section: Magnetostriction Studycontrasting

confidence: 48%

Section: Introductionmentioning

confidence: 98%

An investigation of the effect of structural order on magnetostriction and magnetic behavior of Fe–Ga alloy thin films

et al. 2010

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“…This study underscores the role structural heterogeneity plays in magnetostrictive properties and the importance of properly controlling the thermal treatment process of thin film libraries to obtain accurate property trends as a function of composition. 155 …”

mentioning

confidence: 99%

Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials

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Takeuchi

Hattrick‐Simpers

2013

Journal of Applied Physics

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High throughput (combinatorial) materials science methodology is a relatively new research paradigm that offers the promise of rapid and efficient materials screening, optimization, and discovery. The paradigm started in the pharmaceutical industry but was rapidly adopted to accelerate materials research in a wide variety of areas. High throughput experiments are characterized by synthesis of a "library" sample that contains the materials variation of interest (typically composition), and rapid and localized measurement schemes that result in massive data sets. Because the data are collected at the same time on the same "library" sample, they can be highly uniform with respect to fixed processing parameters. This article critically reviews the literature pertaining to applications of combinatorial materials science for electronic, magnetic, optical, and energy-related materials. It is expected that high throughput methodologies will facilitate commercialization of novel materials for these critically important applications. Despite the overwhelming evidence presented in this paper that high throughput studies can effectively inform commercial practice, in our perception, it remains an underutilized research and development tool. Part of this perception may be due to the inaccessibility of proprietary industrial research and development practices, but clearly the initial cost and availability of high throughput laboratory equipment plays a role. Combinatorial materials science has traditionally been focused on materials discovery, screening, and optimization to combat the extremely high cost and long development times for new materials and their introduction into commerce. Going forward, combinatorial materials science will also be driven by other needs such as materials substitution and experimental verification of materials properties predicted by modeling and simulation, which have recently received much attention with the advent of the Materials Genome Initiative. Thus, the challenge for combinatorial methodology will be the effective coupling of synthesis, characterization and theory, and the ability to rapidly manage large amounts of data in a variety of formats. V C 2013 AIP Publishing LLC. [http://dx

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“…This problem becomes exacerbated when one moves into ternary composition spreads or the recently identified multernary, high-entropy alloy systems. 42,43 III. EXPERIMENTAL…”

Section: Model System: Composition Spread Of Ni-al As Oxidation-rmentioning

confidence: 99%

Generalized machine learning technique for automatic phase attribution in time variant high-throughput experimental studies

et al. 2015

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High-throughput screening of magnetic properties of quenched metallic-alloy thin-film composition spreads

Cited by 18 publications

References 12 publications

An investigation of the effect of structural order on magnetostriction and magnetic behavior of Fe–Ga alloy thin films

An investigation of the effect of structural order on magnetostriction and magnetic behavior of Fe–Ga alloy thin films

Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials

Generalized machine learning technique for automatic phase attribution in time variant high-throughput experimental studies

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