High-throughput study of martensitic transformations in the complete Ti–Ni–Cu system

Zarnetta, Robert; Buenconsejo, Pio John S.; Savan, Alan; Thienhaus, Sigurd; Ludwig, Alfred

doi:10.1016/j.intermet.2012.03.044

Cited by 39 publications

(35 citation statements)

References 74 publications

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“…The other splats show a much clearer non-linearity in the R(T) curve. In contrast to R(T) measurements of conventional shape memory alloys (SMAs) [15] and extremely rapidly quenched Fe 70 Pd 30 thin films using microhotplates [16], these samples show only weak changes in the R(T) curve with no determinable hysteresis width. Therefore it is not possible to distinguish between martensite start (M s ) and austenite finish (A f ) or martensite finish (M f ) and austenite start (A s ) temperature.…”

Section: Resultscontrasting

confidence: 62%

Development and characterization of Fe70Pd30 ferromagnetic shape memory splats

et al. 2010

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Section: Resultscontrasting

confidence: 62%

Development and characterization of Fe70Pd30 ferromagnetic shape memory splats

et al. 2010

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“…Library synthesis and metrology tools are often expensive and not readily available commercially and therefore 133 not accessible to most materials researchers. Currently, HTE libraries and measurement tools are primarily designed with the goal of materials discovery and optimization; therefore, composition is the most common variable HTE parameter.…”

Section: High-throughput Synthesis and Characterization Of Materials mentioning

confidence: 99%

Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

Green

Choi

Hattrick‐Simpers

et al. 2017

Applied Physics Reviews

256

173

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The Materials Genome Initiative, a national effort to introduce new materials into the market faster and at lower cost, has made significant progress in computational simulation and modeling of materials. To build on this progress, a large amount of experimental data for validating these models, and informing more sophisticated ones, will be required. High-throughput experimentation generates large volumes of experimental data using combinatorial materials synthesis and rapid measurement techniques, making it an ideal experimental complement to bring the Materials Genome Initiative vision to fruition. This paper reviews the state-of-the-art results, opportunities, and challenges in high-throughput experimentation for materials design. A major conclusion is that an effort to deploy a federated network of high-throughput experimental (synthesis and characterization) tools, which are integrated with a modern materials data infrastructure, is needed.

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“…As part of the same study, it was shown that the "zero-hysteresis" compositions identified from the CCS experiments, when processed as bulk samples, indeed showed substantially enhanced functional stability due to minimized fatigue behavior. Zarnetta et al 419,420 have also investigated the details of phase transformation behavior across a variety of related SMA systems. Figure 81 shows one such study where data cluster analysis was performed on XRD spectra from a Ni-Ti-Cu CCS library.…”

Section: High-throughput Mapping Of Phase Diagramsmentioning

confidence: 99%

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

Green

Takeuchi

Hattrick‐Simpers

2013

Journal of Applied Physics

223

189

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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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High-throughput study of martensitic transformations in the complete Ti–Ni–Cu system

Cited by 39 publications

References 74 publications

Development and characterization of Fe70Pd30 ferromagnetic shape memory splats

Development and characterization of Fe70Pd30 ferromagnetic shape memory splats

Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

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

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