Thermodynamic and electrical properties of laser-shocked liquid deuterium

Zhang-Ming, He; Guo, Jia; Zhang, Fan; Luo, Kui; Huang, Xiang; Shu, Hua; Fang, Zhiheng; Ye, Junjian; Xie, Zhiyong; Miao, Xiangshui; Fu, Sizu

doi:10.1140/epjd/e2017-80330-4

Cited by 5 publications

(5 citation statements)

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“…Since the luminous modes of both lamps are similar and the slit width and camera gain were set to be the same in the calibrations, the relations and could be obtained. By dividing and , we can obtain a simple relationship between both lamps, , assuming a small wavelength range of a single pixel [10] . Since is known and , , and can be obtained from the calibration experiments, can be calculated directly.…”

Section: Verification Of the Sop Systemmentioning

confidence: 99%

“…However, in shock-wave experiments, , which gives . Since , where is the difference in reflectivity between the SOP channel and the VISAR probe beam, it can be regarded as a constant in a certain state [10, 11] . is the reflectivity of base material, while and are the camera counts of the shocked material and base material, respectively.…”

Section: Uncertainty and Sensitivity Analysis Of The Sop Systemmentioning

confidence: 99%

“…Shock temperature measurements are among the important means to examine and test the theoretical EOS model under extreme conditions. High-power lasers have been increasingly used as drivers for shock-wave experiments, and can produce extremely high pressures [5][6][7][8][9][10][11] .…”

Section: Introductionmentioning

confidence: 99%

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Calibration and verification of streaked optical pyrometer system used for laser-induced shock experiments

Zhang-Ming

Guo

Zhang

et al. 2019

High Pow Laser Sci Eng

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Although the streaked optical pyrometer (SOP) system has been widely adopted in shock temperature measurements, its reliability has always been of concern. Here, two calibrated Planckian radiators with different color temperatures were used to calibrate and verify the SOP system by comparing the two calibration standards using both multi-channel and single-channel methods. A high-color-temperature standard lamp and a multi-channel filter were specifically designed for the measurement system. To verify the reliability of the SOP system, the relative deviation between the measured data and the standard value of less than 5% was calibrated out, which demonstrates the reliability of the SOP system. Furthermore, a method to analyze the uncertainty and sensitivity of the SOP system is proposed. A series of laser-induced shock experiments were conducted at the ‘Shenguang-II’ laser facility to verify the reliability of the SOP system for temperature measurements at tens of thousands of kelvin. The measured temperature of the quartz in our experiments agreed fairly well with previous works, which serves as evidence for the reliability of the SOP system.

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Section: Verification Of the Sop Systemmentioning

confidence: 99%

Section: Uncertainty and Sensitivity Analysis Of The Sop Systemmentioning

confidence: 99%

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Calibration and verification of streaked optical pyrometer system used for laser-induced shock experiments

Zhang-Ming

Guo

Zhang

et al. 2019

High Pow Laser Sci Eng

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“…SOP is used for observation of self-emission of the target from which temperature can be extracted, whereas VISAR (660 nm) is applied for simultaneous diagnostics on free surface velocity and optical reflectivity. [24][25][26][27] A schematic illustrating these diagnostics is shown in Fig. 1 The target sample is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Parameters related to the streak camera's setting must be the same in calibration and experiments to ensure consistency of the SOP's transfer function. In the circumstance that calibration is performed in the same experimental configuration with laser-driven shock experiments, L(λ ) can be inferred from a simplified equation using a "dynamic calibration" [25,26] rather than "static calibration" described by Miller et al [36] The equation is expressed as…”

Section: Temperature Measurementmentioning

confidence: 99%

Shock temperature and reflectivity of precompressed H ₂ O up to 350 GPa: Approaching the interior of planets

Zhang-Ming¹,

Shu²,

Huang³

et al. 2018

Chinese Phys. B

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Using a combination of static precompression and laser-driven shock compression, shock temperature and reflectivity of H 2 O have been measured up to 350 GPa and 2.1×10 4 K. Here, two calibration standards were applied to enhance temperature measurement reliability. Additionally, in temperature calculations, the discrepancy in reflectivity between active probe beam wavelength and self-emission wavelength has been taken into account to improve the data's precision. Precompressed water's temperature-pressure data are in very good agreement with our quantum molecular dynamics model, suggesting a superionic conductor of H 2 O in the icy planets' deep interior. A sluggish slope gradually approaching Dulong-Petit limit at high temperature was found at a specific heat capacity. Also, high reflectivity and conductivity were observed at the same state. By analyzing the temperature-pressure diagram, reflectivity, conductivity and specific heat comprehensively at conditions simulating the interior of planets in this work, we found that as the pressure rises, a change in ionization appears; it is supposedly attributed to energetics of bond-breaking in the H 2 O as it transforms from a bonded molecular fluid to an ionic state. Such molecular dissociation in H 2 O is associated with the conducting transition because the dissociated hydrogen atoms contribute to electrical properties.

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Inverting shock-wave temperatures via artificial neural networks

Zhang-Ming

Guo

Huang

et al. 2020

Journal of Applied Physics

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Temperature is one of the most important parameters for characterizing the thermodynamic state of matter in extreme conditions. However, there is as of yet no universal and accurate way to measure the temperature associated with a shock wave propagating in an opaque material, let alone an inversion method for determining how this temperature evolves. Based on the current strong generalization and learning abilities of artificial neural networks, this paper proposes using an artificial neural network to determine (i) how the shock-wave temperature in a material evolves and (ii) the surface temperature of the interface between the material and vacuum when a shock wave propagates through the material. Data generated using a one-dimensional numerical hydrodynamic simulation are used to train the artificial neural network by applying backpropagation and optimization to many datasets. Once the artificial neural network is trained sufficiently, it becomes an excellent approximator that can estimate the shock-wave temperature from a given streaked-optical-pyrometer image and other known information from the experiment. The paper ends with various possible extensions to the present research.

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Thermodynamic and electrical properties of laser-shocked liquid deuterium

Cited by 5 publications

References 50 publications

Calibration and verification of streaked optical pyrometer system used for laser-induced shock experiments

Calibration and verification of streaked optical pyrometer system used for laser-induced shock experiments

Shock temperature and reflectivity of precompressed H ₂ O up to 350 GPa: Approaching the interior of planets

Inverting shock-wave temperatures via artificial neural networks

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Thermodynamic and electrical properties of laser-shocked liquid deuterium

Cited by 5 publications

References 50 publications

Calibration and verification of streaked optical pyrometer system used for laser-induced shock experiments

Calibration and verification of streaked optical pyrometer system used for laser-induced shock experiments

Shock temperature and reflectivity of precompressed H 2 O up to 350 GPa: Approaching the interior of planets

Inverting shock-wave temperatures via artificial neural networks

Contact Info

Product

Resources

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Shock temperature and reflectivity of precompressed H ₂ O up to 350 GPa: Approaching the interior of planets