Thermal conductivity imaging at micrometre-scale resolution for combinatorial studies of materials

Huxtable, Scott T.; Cahill, David G.; Fauconnier, Vincent; White, Jeffrey O.; Zhao, Ji‐Cheng

doi:10.1038/nmat1114

Cited by 153 publications

(97 citation statements)

References 19 publications

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“…8 Complete TDTR data sets from À 20 ps to 3,600 ps take a few minutes to collect. To obtain nearly continuous thermal conductivity measurements during galvanostatic delithiation and lithiation, the delay time is fixed at 30 ps, and the in-phase and out-of-phase signal from the lock-in amplifier is recorded and converted every 6 s to thermal conductivity 24 (see Supplementary Information for details of experimental measurements). Figure 2c gives the thermal conductivity of Li x CoO 2 during delithiation (0-3 h and 6-9 h) and lithiation (3-6 h and 9-12 h) over the range of x ¼ 1.0 to x ¼ 0.6.…”

Section: Resultsmentioning

confidence: 99%

Electrochemically tunable thermal conductivity of lithium cobalt oxide

et al. 2014

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Using time-domain thermoreflectance, the thermal conductivity and elastic properties of a sputter deposited LiCoO 2 film, a common lithium-ion cathode material, are measured as a function of the degree of lithiation. Here we report that via in situ measurements during cycling, the thermal conductivity of a LiCoO 2 cathode reversibly decreases from B5.4 to 3.7 W m À 1 K À 1 , and its elastic modulus decreases from 325 to 225 GPa, as it is delithiated from Li 1.0 CoO 2 to Li 0.6 CoO 2 . The dependence of the thermal conductivity on lithiation appears correlated with the lithiation-dependent phase behaviour. The oxidation-statedependent thermal conductivity of electrolytically active transition metal oxides provides opportunities for dynamic control of thermal conductivity and is important to understand for thermal management in electrochemical energy storage devices.

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Section: Resultsmentioning

confidence: 99%

Electrochemically tunable thermal conductivity of lithium cobalt oxide

et al. 2014

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“…Diffusion multiple samples can be used to determine phase diagrams and design functional alloys. [137][138][139][140][141] However, one disadvantage of the bulk diffusion multiple techniques is that property measurements must be carried out with very high spatial resolution of the order of 1 to 5 micrometers, due to the limited scale of diffusion in bulk samples.…”

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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

217

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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“…The TDTR measurement setup for the elastic constant measurement is the same type of system that has been employed for the measurements of several other thermophysical properties such as thermal conductivity, 24,25 specific heat capacity, 26 and coefficient of thermal expansion. 27 The TDTR laser system is described in detail elsewhere.…”

Section: Introductionmentioning

confidence: 99%

Facile measurement of single-crystal elastic constants from polycrystalline samples

Zhao

2017

npj Comput Mater

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Elastic constants are among the most fundamental properties of materials. Simulations of microstructural evolution and constitutive/micro-mechanistic modeling of materials properties require elastic constants that are predominately measured from single crystals that are labor intensive to grow. A facile technique is developed to measure elastic constants from polycrystalline samples. The technique is based upon measurements of the surface acoustic wave velocities with the help of a polydimethylsiloxane film grating that is placed on a polished surface of a polycrystalline sample to confine surface acoustic waves that are induced by a femtosecond laser and measured using pump-probe time-domain thermoreflectance. Electron backscatter diffraction is employed to measure the crystallographic orientation along which the surface acoustic wave propagates in each grain (perpendicular to the polydimethylsiloxane grating). Such measurements are performed on several grains. A robust mathematical solution was developed to compute the surface acoustic wave velocity along any crystallographic orientation of any crystal structure with given elastic constants and density. By inputting various starting values of elastic constants to compute the surface acoustic wave velocities to match experimental measurements in several distinct crystallographic orientations using an optimization algorithm, accurate elastic constant values have been obtained from seven polycrystalline metal samples to be within 6.8% of single-crystal measurements. This new technique can help change the current scenario that experimentally measured elastic constants are available for only about 1% of the estimated 160,000 distinct solid compounds, not to mention the significant need for elastic constants of various solid solution compositions that are the base of structural materials.

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Thermal conductivity imaging at micrometre-scale resolution for combinatorial studies of materials

Cited by 153 publications

References 19 publications

Electrochemically tunable thermal conductivity of lithium cobalt oxide

Electrochemically tunable thermal conductivity of lithium cobalt oxide

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

Facile measurement of single-crystal elastic constants from polycrystalline samples

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