The Thermal and Electrical Conductivity of Aluminum

Cook, John G.; Moore, J. P.; Matsumura, T.; Meer, Mudassar

doi:10.1007/978-1-4899-3751-3_11

Cited by 21 publications

(9 citation statements)

References 5 publications

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“…The calculated conductivities at temperatures of 50 K, 100 K, and 300 K are 1.90 × 10 9 S/m, 2.41 × 10 8 S/m, 4.14 × 10 7 S/m, respectively. These results are in good agreement with the experimental data (being 2.12 × 10 9 S/m, 2.27 × 10 8 S/m, and 3.66 × 10 7 S/m [26]).…”

Section: A the Convergence And Precision Of Resultssupporting

confidence: 91%

Source and distribution of atmospheric polychlorinated biphenyls in Shenzhen

Liu¹,

Liu²,

Li³

et al. 2014

Journal of Shenzhen University Science and Engineering

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Bokeh rendering is a popular and effective technique used in photography to create an aesthetically pleasing effect. It is widely used to blur the background and highlight the subject in the foreground, thereby drawing the viewer's attention to the main focus of the image. In traditional digital single-lens reflex cameras (DSLRs), this effect is achieved through the use of a large aperture lens. This allows the camera to capture images with shallow depth-of-field, in which only a small area of the image is in sharp focus, while the rest of the image is blurred. However, the hardware embedded in mobile phones is typically much smaller and more limited than that found in DSLRs. Consequently, mobile phones are not able to capture natural shallow depth-of-field photos, which can be a significant limitation for mobile photography. To address this challenge, in this paper, we propose a novel method for bokeh rendering using the Vision Transformer, a recent and powerful deep learning architecture. Our approach employs an adaptive depth calibration network that acts as a confidence level to compensate for errors in monocular depth estimation. This network is used to supervise the rendering process in conjunction with depth information, allowing for the generation of high-quality bokeh images at high resolutions. Our experiments demonstrate that our proposed method outperforms state-of-the-art methods, achieving about 24.7% improvements on LPIPS and obtaining higher PSNR scores.

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Section: A the Convergence And Precision Of Resultssupporting

confidence: 91%

Source and distribution of atmospheric polychlorinated biphenyls in Shenzhen

Liu¹,

Liu²,

Li³

et al. 2014

Journal of Shenzhen University Science and Engineering

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“…As the thermal conductivity of the metal baffles (aluminum alloy, 301 W m −1 K −1 (ref. 50)) is over an order of magnitude higher than that of the catalyst (CuO/ZnO/Al 2 O 3 , 20 W m −1 K −1 (ref. 51)), the temperature distribution of the 6 mm channel reactor is much more uniform and the average reaction temperature is higher than the others, which is favorable for the MSR reaction.…”

Section: Resultsmentioning

confidence: 98%

“…51)) is much lower than that of the metal baffle (301 W m −1 K −1 (ref. 50)) in the reactor, an increase in the flow channel equivalent diameter means that the distance between the catalyst core and the reactor flow channel edge is enlarged, so that the temperature difference between the core and surface of the catalyst bed is higher (not shown in Fig. 7), and the average catalyst temperature is lower.…”

Section: Resultsmentioning

confidence: 99%

Methanol steam reforming reactor design for efficient photovoltaic–thermochemical power generation

Tian

Zhao

Zhang

et al. 2023

Sustainable Energy Fuels

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“…The specific capacity at different C-rates was determined by chronoamperometry. 44 The cells were first charged (0.1C at 25 °C) to 4.2 V. Afterwards, a voltage step to 3.0 V was applied and the current transient was recorded at a sampling rate of 1 Hz. The current transient was then converted into the common capacity vs C-rate representation by the mathematical procedure described in Ref.…”

Section: Methodsmentioning

confidence: 99%

Understanding Low Temperature Limitations of LiNi_0.5Co_0.2Mn_0.3O₂ Cathodes for Li-Ion Batteries

Nickol

Heubner

Schneider

et al. 2022

J. Electrochem. Soc.

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A major drawback of today's Li-ion batteries is inadequate performance at low temperatures, which slows down user-friendliness and market expansion of electromobility. Due to the systems complexity, many possible low-temperature limitations and various dependencies on the operating conditions exist. The origin of the performance limitations at low temperatures is still controversial and not completely clarified. We herein demonstrate a comprehensive analysis of the performance limitations at low temperatures using a LiNi0.5Co0.2Mn0.3O2-based cathode. To separate the overvoltage phenomena, the complex system is decomposed as much as possible and individual aspects are investigated separately. Complementary electrochemical methods are employed to quantify the C-rate and SOC dependence of the individual overvoltage phenomena. Based on comprehensive analysis of the intercalation kinetics, mass and charge transport, we obtain a coherent picture of the performance limitations as a function of operating conditions. This can serve for targeted optimization or parameterizing models to simulate battery behavior. However, the present work is not only concerned with identifying the low-temperature limits of the system studied but also shows how the rate-determining step of the electrode reaction can be efficiently identified as a function of temperature, SOC, and C-rate, which can serve as guideline for future work.

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The Thermal and Electrical Conductivity of Aluminum

Cited by 21 publications

References 5 publications

Source and distribution of atmospheric polychlorinated biphenyls in Shenzhen

Source and distribution of atmospheric polychlorinated biphenyls in Shenzhen

Methanol steam reforming reactor design for efficient photovoltaic–thermochemical power generation

Understanding Low Temperature Limitations of LiNi_0.5Co_0.2Mn_0.3O₂ Cathodes for Li-Ion Batteries

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The Thermal and Electrical Conductivity of Aluminum

Cited by 21 publications

References 5 publications

Source and distribution of atmospheric polychlorinated biphenyls in Shenzhen

Source and distribution of atmospheric polychlorinated biphenyls in Shenzhen

Methanol steam reforming reactor design for efficient photovoltaic–thermochemical power generation

Understanding Low Temperature Limitations of LiNi0.5Co0.2Mn0.3O2 Cathodes for Li-Ion Batteries

Contact Info

Product

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Understanding Low Temperature Limitations of LiNi_0.5Co_0.2Mn_0.3O₂ Cathodes for Li-Ion Batteries