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58 results for “Thermal properties”
Figure 2. Energy dispersive X in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 2. Energy dispersive X-ray spectroscopy of α - and γ-Al2O3NPs.
Figure 1 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 1. Field emission scanning electron microscope (FESEM) of α- and γ-Al2O3NPs.
Figure 3 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 3. UV-Vis and direct optical band gap spectra of (A) α-Al2O3NPs and (B) γ-Al2O3NPs.
Data and Codes for "Thermal properties of the superconductor-quantum Hall interfaces"
<p>Datasets and processing code for reproduction of "Thermal properties of the superconductor-quantum Hall interfaces"</p>
Dataset related to the publication "Thermal properties of nanocrystalline silicon nanobeams", DOI: 10.1002/adfm.202105767
<p>This folder contains the raw data from which the graphs in paper "Thermal properties of nanocrystalline silicon nanobeams", DOI: 10.1002/adfm.202105767, have been obtained.</p>
MInTe2 (M=Ag, Cu) thermal and electronic transport properties
<p>HiPhive, ShengBTE and AMSET files that contain thermal and electronic transport properties of MInTe2 (M=Ag, Cu)</p>
Data & scripts - The effect of temperature-dependent material properties on simple thermal models of subduction zones
<p>Data and scripts used in Van Zelst et al. (2023, Solid Earth): 'The effect of temperature-dependent material properties on simple thermal models of subduction zones'. Includes the data and figures for the benchmark of Van Keken et al. (2008) plus the results from our code xFieldstone; processing and visualisation scripts; raw and final figures; and all results for all model runs used in the publication (as listed in Table 1 in the paper). </p>
Influence of Ce content on the microstructure and thermal expansion properties of suction cast Al-Cu-Fe alloys
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Data from: Physical, chemical, and functional properties of neuronal membranes vary between species of Antarctic notothenioids differing in thermal tolerance
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Thermal properties of lipid bilayers determined using upconversion nanothermometry
<p>Dataset accompanying figures published in the publication DOI: 10.5281/zenodo.3597416</p>
Determination of complex refractive indices and optical properties of volcanic ashes in the thermal infrared based on generic petrological compositions: supplementary material
<p>This dataset contains supplementary material to the paper "Determination of complex refractive indices and optical properties of volcanic ashes in the thermal infrared based on generic petrological compositions", doi: 10.1016/j.jvolgeores.2021.107174</p> <p>It contains a set of volcanic ash refractive indices and optical properties derived for certain microphysical properties.</p> <p>For more information please consider the manuscript or contact the authors.</p>
Rheological and thermal degradation properties of hyperbranched polyisoprene prepared by anionic polymerisation
<div class="WordSection1"> <p class="RSCB01ARTAbstract"><span><a name="_Hlk6757244">Hyperbranched polyisoprene was prepared by anionic copolymerisation under high vacuum condition. Size exclusion chromatography (<i>SEC</i>) was used to characterise the molecular weight and branching nature of these polymers. The characterisation by differential scanning calorimetry (<i>DSC</i>) and melt rheology indicated lower <i>T<sub>g</sub></i> and complex viscosity in the branched polymers as compared to the linear polymer. Degradation kinetics of these polymers was explored using thermogravimetric analysis (TGA) via non-isothermal techniques. The polymers were heated under nitrogen from ambient temperature to 600 °C using heating rates from 2, to 15 °C min<sup>-1</sup>. Three kinetics methods namely Friedman, Flynn–Wall–Ozawa (FWO) and Kissinger–Akahira–Sunose (KAS) were used to evaluate the dependence of activation energy (<i>E<sub>a</sub></i>) on conversion (<i>α</i>). The hyperbranched polyisoprene decomposed via multistep mechanism as manifested by the nonlinear relationship between <i>α</i> and <i>E<sub>a</sub></i> while the linear polymer exhibited a decline in <i>E<sub>a</sub></i> at higher conversions. The average <i>E<sub>a</sub></i> values range from 258 to 330 kJmol<sup>-1</sup> for the linear, and 260 to 320 kJmol<sup>-1</sup> for the branched polymers. The thermal degradation of the polymers studied involved one-dimensional diffusion mechanism as determined by Coats–Redfern method. This study may help in understanding the effect of branching on the rheological and decomposition kinetics of polyisoprene</a>.</span></p> </div> <p> </p>
Thermal and mechanical properties of PBSA and BIOCHAR blends
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Evolution of thermal and mechanical properties of PP-based composites subjected to mechanical recycling
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Effect of glycerol trilevulinate plasticizer on thermal and mechanical properties of PHB, PHBV, PLA, PVC and PCL polymers
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Thermal properties of 'athermal' granular materials
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Supporting data for "Neural Network-Based Interatomic Potential for the Study of Thermal and Mechanical Properties of Siliceous Zeolites"
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Dataset for Thermal Properties of Pressure Core Samples Recovered from Nankai Trough Wells Before and After Methane Hydrate Dissociation
<p>This dataset is for the research article titled Thermal Properties of Pressure Core Samples Recovered from Nankai Trough Wells Before and After Methane Hydrate Dissociation published in Earth and Space Science.</p>
Data from: Thermal failure of diamond tools indicated by diamond degradation: Damage evaluation and property prediction on small image datasets
<p>High temperature induced diamond degradation often leads to the failure of diamond tools. In this work, diamond samples holding different degrees of thermal damage were prepared by heating and sintering. The influence of diamond particle size and processing temperature was investigated through mechanical testing and micromorphology observation, meanwhile, a dataset containing 2870 SEM images showing diamonds with different degrees of degradation was constructed. By modification of VGG16 network, classification models and regression models were developed for thermal damage evaluation and sample property prediction. Training strategies including transfer learning and data augmentation were implemented and verified essential on the small dataset, where drop-out showed no positive effects. Two classification models (3-class and 65-class) were constructed and trained for damage evaluation. Visualized damage feature maps exported from Grad-CAM revealed the influential mechanism of thermal damage on diamonds, which proved the effectiveness of the classification models as well. Under the optimized training strategies, regression models were built for sample property prediction. The models towards toughness index, bending strength loss, relative density and Rockwell hardness were examined. Comparing the output results with real property values in test sets, the first two models matched well, and the latter two showed the opposite. It verified the validity of the regression models for property prediction as they were all established based on diamond damage image datasets. The loss in bending strength loss prediction model was smaller than that of toughness index, indicating bending strength easier to be shorten than impact toughness for diamond/metal composites suffering thermal impacts.</p>
Data from Anomalous Ferromagnetic Phase in the Gd1-xErxB4 Series: Crystal Growth, Thermal and Magnetic Properties
<p>This upload contains all the dataset used to prepare the paper "Anomalous Ferromagnetic Phase in the Gd1-xErxB4 Series: Crystal Growth, Thermal and Magnetic Properties"</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.