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104 results for “Thermal conductivity”
Thermal conductivity of limestone at various temperatures
<p><strong>Thermal conductivity of limestone at various temperatures</strong></p> <p>Junjie Chen</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p> </p> <p>Limestone is a type of carbonate sedimentary rock which is the main source of the material lime. It is composed mostly of the mineral's calcite and aragonite. Limestone forms when these minerals precipitate out of water containing dissolved calcium. Magnesian limestone is an obsolete and poorly-defined term used variously for dolomite, for limestone containing significant dolomite, or for any other limestone containing a significant percentage of magnesium. Most limestone was formed in shallow marine environments, such as continental shelves or platforms, though smaller amounts were formed in many other environments. Much dolomite is secondary dolomite, formed by chemical alteration of limestone. Limestone is exposed over large regions of the Earth's surface, and because limestone is slightly soluble in rainwater, these exposures often are eroded to become karst landscapes. Most cave systems are found in limestone bedrock. Limestone has numerous uses: as a chemical feedstock for the production of lime used for cement, as aggregate for the base of roads, as white pigment or filler in products such as toothpaste or paints, as a soil conditioner, and as a popular decorative addition to rock gardens.</p> <p> </p> <p>Thermodynamic temperature (degrees kelvin), Thermal conductivity (watts per meter-kelvin)</p> <p>472 1.19</p> <p>553 1.21</p> <p>683 1.19</p> <p>813 1.11</p> <p>952 1.12</p> <p>1013 1.07</p> <p>1075 1.03</p> <p>1181 0.62</p> <p>1253 0.57</p> <p>1324 0.54</p> <p>395.9 1.43</p> <p>450.4 1.41</p> <p>527.6 1.4</p> <p>605.4 1.33</p>
Thermal conductivity of copper at various temperatures
<p><strong>Thermal conductivity of copper at various temperatures</strong></p> <p>Junjie Chen</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p> </p> <p>Copper is a chemical element with the atomic number 29. It is a soft, malleable, and ductile metal with very high thermal and electrical conductivity. A freshly exposed surface of pure copper has a pinkish-orange color. Copper is used as a conductor of heat and electricity, as a building material, and as a constituent of various metal alloys, such as sterling silver used in jewelry, cupronickel used to make marine hardware and coins, and constantan used in strain gauges and thermocouples for temperature measurement. Copper, silver, and gold are in group 11 of the periodic table; these three metals have one s-orbital electron on top of a filled d-electron shell and are characterized by high ductility, and electrical and thermal conductivity. The filled d-shells in these elements contribute little to interatomic interactions, which are dominated by the s-electrons through metallic bonds. Unlike metals with incomplete d-shells, metallic bonds in copper are lacking a covalent character and are relatively weak. This observation explains the low hardness and high ductility of single crystals of copper. At the macroscopic scale, introduction of extended defects to the crystal lattice, such as grain boundaries, hinders flow of the material under applied stress, thereby increasing its hardness. For this reason, copper is usually supplied in a fine-grained polycrystalline form, which has greater strength than monocrystalline forms. The softness of copper partly explains its high electrical conductivity and high thermal conductivity, second highest among pure metals at room temperature. This is because the resistivity to electron transport in metals at room temperature originates primarily from scattering of electrons on thermal vibrations of the lattice, which are relatively weak in a soft metal. Copper does not react with water, but it does slowly react with atmospheric oxygen to form a layer of brown-black copper oxide which, unlike the rust that forms on iron in moist air, protects the underlying metal from further corrosion. Copper tarnishes when exposed to some sulfur compounds, with which it reacts to form various copper sulfides.</p> <p> </p> <p>Thermodynamic temperature (degrees kelvin), Thermal conductivity (watts per meter-kelvin)</p> <p>5 13800</p> <p>10 19600</p> <p>20 10500</p> <p>30 4300</p> <p>40 2050</p> <p>50 1220</p> <p>60 850</p> <p>70 670</p> <p>80 570</p> <p>90 514</p> <p>100 483</p> <p>200 413</p> <p>273 401</p> <p>300 398</p> <p>400 392</p> <p>500 388</p> <p>600 383</p> <p>700 377</p> <p>800 371</p> <p>900 364</p> <p>1000 357</p> <p>1100 350</p> <p>1200 342</p> <p>1300 334</p>
Thermal conductivity of insulating firebrick at various temperatures
<p><strong>Thermal conductivity of insulating firebrick at various temperatures</strong></p> <p>Junjie Chen</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p> </p> <p>In materials science, a refractory material or refractory is a material that is resistant to decomposition by heat, pressure, or chemical attack, and retains strength and form at high temperatures. Refractories are polycrystalline, polyphase, inorganic, non-metallic, porous, and heterogeneous. They are typically composed of oxides or carbides, and nitrides of the following materials: silicon, aluminum, magnesium, calcium, boron, chromium and zirconium. Refractory materials are used in furnaces, kilns, incinerators, and reactors. Refractories are also used to make crucibles and molds for casting glass and metals and for surfacing flame deflector systems for rocket launch structures. Today, the iron-industry and steel-industry and metal casting sectors use approximately 70 percent of all refractories produced. Refractory materials must be chemically and physically stable at high temperatures. Depending on the operating environment, they must be resistant to thermal shock, be chemically inert, and have specific ranges of thermal conductivity and of the coefficient of thermal expansion. The oxides of aluminum, silicon and magnesium are the most important materials used in the manufacturing of refractories. Another oxide usually found in refractories is the oxide of calcium. Fire clays are also widely used in the manufacture of refractories.</p> <p> </p> <p>Thermodynamic temperature (degrees kelvin), Thermal conductivity (watts per meter-kelvin)</p> <p>533 0.19</p> <p>811 0.2</p> <p>1089 0.23</p> <p>1366 0.26</p> <p>533 0.25</p> <p>811 0.26</p> <p>1089 0.27</p> <p>1366 0.3</p> <p>533 0.29</p> <p>811 0.32</p> <p>1089 0.33</p> <p>1366 0.36</p> <p>636.2 1.58</p> <p>843.2 1.55</p> <p>1036.2 1.53</p>
Data for: Anderson Localization of Phonons in Thermally Superinsulating Graphene Aerogels with Metal-Like Electrical Conductivity
<p>The dataset contains the raw data for the graphene aerogel study, which evaluated the thermal conductivity, electrical conductivity, and ampacity of different graphene aerogels as a function of density, compressive strain, flake size, and annealing conditions. The package includes the data and figures for the paper entitled "Anderson Localization of Phonons in Thermally Superinsulating Graphene Aerogels with Metal-Like Electrical Conductivity", <a href="https://doi.org/10.1002/smtd.202301536">https://doi.org/10.1002/smtd.202301536</a>.</p>
Thermal conductivity of post-stishovite and CF phase
<p>This repository contains experimental data on the thermal conductivity of post-stishovite and CF phase at high pressure and a variety of temperature conditions. This dataset is presented in a manuscript submitted by Wen-Pin Hsieh, Takayuki Ishii, Frederic Deschamps, Yi-Chi Tsao, Jun-Wei Chang, and Giacomo Criniti entitled:</p> <p>Low thermal conductivity of hydrous aluminous silica and calcium ferrite-type phase promote water transportation to Earth's deep mantle</p>
Thermally coupled monolith reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions
<p><strong>Thermally coupled monolith reactors with enhanced heat transfer for conducting simultaneous endothermic and exothermic reactions</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>A reactor must be of sufficient length to allow a reaction to proceed to the required conversion. Utilizing high gas velocities typically results in reactors with large length to width ratios which again results in systems with high pressure drops. The smaller the characteristic dimension of the catalyst particle the higher is the utilization of the catalyst. This is sometimes expressed as a higher effectiveness factor. However, beds formed from small particles exhibit higher pressure drops than similar beds formed from larger particle. So, an engineer designs a system with expectable compromises between heat transfer, catalyst utilization, system conversion, and pressure drop. Therefore, a reactor for conducting catalytic processes which can promote overall heat transfer and levels of conversion whilst minimizing pressure drop is desired. Another deficiency of traditional heat transfer equipment is start-up time and thermal response to transients. As reactors are traditionally large and heavy, they have significant thermal inertia. Therefore, the system takes significant time to re-equilibrate from any change in load or process operating conditions. Therefore, a reactor with enhanced response characteristics particularly for rapid start up is desired. A number of methods have been directed to methods of increased heat transfer within reactors and towards low pressure drop catalytic reactors and processes.</p> <p>Streamwise distance (meters), Heat flux (watts per square meter)</p> <p>0 24445.8</p> <p>0.00025 134016</p> <p>0.0005 131072</p> <p>0.00075 151168</p> <p>0.001 85641.3</p> <p>0.00125 -1444</p> <p>0.0015 -1860.19</p> <p>0.00175 -1518.44</p> <p>0.002 54696.4</p> <p>0.00225 97408</p> <p>0.0025 82176</p> <p>0.00275 94848</p> <p>0.003 54951.4</p> <p>0.00325 272.062</p> <p>0.0035 190.062</p> <p>0.00375 172.75</p> <p>0.004 30551.3</p> <p>0.00425 55808</p> <p>0.0045 50432</p> <p>0.00475 60160</p> <p>0.005 35216.3</p> <p>0.00525 267.563</p> <p>0.0055 230.062</p> <p>0.00575 199.562</p> <p>0.006 21724.7</p> <p>0.00625 39680</p> <p>0.0065 35840</p> <p>0.00675 42112</p> <p>0.007 24419.8</p> <p>0.00725 184.875</p> <p>0.0075 157.375</p> <p>0.00775 138</p> <p>0.008 18497.7</p> <p>0.00825 33024</p> <p>0.0085 28672</p> <p>0.00875 32384</p> <p>0.009 18375</p> <p>0.00925 128.25</p> <p>0.0095 103.25</p> <p>0.00975 90.5625</p> <p>0.01 16940.7</p> <p>0.01025 29440</p> <p>0.0105 24448</p> <p>0.01075 26496</p> <p>0.011 14644.3</p> <p>0.01125 91.5</p> <p>0.0115 68.8125</p> <p>0.01175 61.3125</p> <p>0.012 16031.7</p> <p>0.01225 27392</p> <p>0.0125 22016</p> <p>0.01275 23040</p> <p>0.013 12456.8</p> <p>0.01325 69.125</p> <p>0.0135 47.6875</p> <p>0.01375 42.5</p> <p>0.014 15255.2</p> <p>0.01425 25856</p> <p>0.0145 20096</p> <p>0.01475 20224</p> <p>0.015 10784.7</p> <p>0.01525 53.8125</p> <p>0.0155 33.375</p> <p>0.01575 30.25</p> <p>0.016 14481.9</p> <p>0.01625 24192</p> <p>0.0165 18304</p> <p>0.01675 17792</p> <p>0.017 9241.95</p> <p>0.01725 40.7501</p> <p>0.0175 21.3125</p> <p>0.01775 19.5625</p> <p>0.018 13581</p> <p>0.01825 22528</p> <p>0.0185 16768</p> <p>0.01875 15872</p> <p>0.019 8084.96</p> <p>0.01925 31.375</p> <p>0.0195 12.5</p> <p>0.01975 11.3125</p> <p>0.02 12809.2</p> <p>0.02025 20992</p> <p>0.0205 15104</p> <p>0.02075 13824</p> <p>0.021 6927.91</p> <p>0.02125 21.8125</p> <p>0.0215 4.18748</p> <p>0.02175 3.87499</p> <p>0.022 11653.6</p> <p>0.02225 18816</p> <p>0.0225 13312</p> <p>0.02275 12032</p> <p>0.023 5900.31</p> <p>0.02325 15.5625</p> <p>0.0235 -0.375003</p> <p>0.02375 -0.250023</p> <p>0.024 10115.4</p> <p>0.02425 16384</p> <p>0.0245 11520</p> <p>0.02475 10496</p> <p>0.025 5258.69</p> <p>0.02525 13.5625</p> <p>0.0255 0.125008</p> <p>0.02575 -2.83833E-05</p> <p>0.026 8578.74</p> <p>0.02625 13824</p> <p>0.0265 9856</p> <p>0.02675 9216</p> <p>0.027 4618.92</p> <p>0.02725 15.75</p> <p>0.0275 5.68751</p> <p>0.02775 5.625</p> <p>0.028 6404.77</p> <p>0.02825 10624</p> <p>0.0285 8320</p> <p>0.02875 8832</p> <p>0.029 4751.49</p> <p>0.02925 26.8125</p> <p>0.0295 20.3125</p> <p>0.02975 16.3125</p> <p>0.03 2.63005</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Thermally conductive honeycombs for chemical reactors with enhanced chemical conversion behavior
<p><strong>Thermally conductive honeycombs for chemical reactors with enhanced chemical conversion behavior</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>It has been taught a method to produce a thermally conductive honeycombs for chemical reactors. It has been taught a technique to produce an extruded metal monolith and highlights how copper or copper alloys are particularly suitable for this application. It has been taught how catalysts may be attached to walls to produce an active catalyst matrix. It is claimed that thermally conductive monoliths reduce the likelihood of hot spot formation, as any hotter area conducts the energy via conduction through the monolith body to an area which is less hot. However, the method does not teach of the possibility of having different chemical reactions simultaneously occurring on opposing sides of the monolith substrate. Therefore, it is necessary to provide an improved chemical processor which is suitable for efficiently carrying out chemical reactions. Therefore, it is also necessary to provide a reactor which can be ready produced by suitable modification of a regular monolithic structure such that two reactions of different energetic nature can be catalytically performed on opposing sides of walls which divide the two sets of discrete flow channels.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 13.075</p> <p>0.00025 13.1037</p> <p>0.0005 13.1253</p> <p>0.00075 13.0811</p> <p>0.001 12.9897</p> <p>0.00125 12.8713</p> <p>0.0015 12.7362</p> <p>0.00175 12.5895</p> <p>0.002 12.4345</p> <p>0.00225 12.2741</p> <p>0.0025 12.1101</p> <p>0.00275 11.9443</p> <p>0.003 11.7782</p> <p>0.00325 11.6128</p> <p>0.0035 11.4491</p> <p>0.00375 11.2879</p> <p>0.004 11.1299</p> <p>0.00425 10.9755</p> <p>0.0045 10.8253</p> <p>0.00475 10.6793</p> <p>0.005 10.5378</p> <p>0.00525 10.4009</p> <p>0.0055 10.2684</p> <p>0.00575 10.1406</p> <p>0.006 10.0173</p> <p>0.00625 9.89855</p> <p>0.0065 9.78406</p> <p>0.00675 9.6739</p> <p>0.007 9.56804</p> <p>0.00725 9.46615</p> <p>0.0075 9.36809</p> <p>0.00775 9.27394</p> <p>0.008 9.18373</p> <p>0.00825 9.09715</p> <p>0.0085 9.01421</p> <p>0.00875 8.9348</p> <p>0.009 8.85876</p> <p>0.00925 8.78593</p> <p>0.0095 8.71625</p> <p>0.00975 8.64929</p> <p>0.01 8.58508</p> <p>0.01025 8.52384</p> <p>0.0105 8.46504</p> <p>0.01075 8.4084</p> <p>0.011 8.35384</p> <p>0.01125 8.30147</p> <p>0.0115 8.25092</p> <p>0.01175 8.20203</p> <p>0.012 8.15488</p> <p>0.01225 8.10937</p> <p>0.0125 8.06514</p> <p>0.01275 8.02226</p> <p>0.013 7.98085</p> <p>0.01325 7.9406</p> <p>0.0135 7.90137</p> <p>0.01375 7.86316</p> <p>0.014 7.82602</p> <p>0.01425 7.78976</p> <p>0.0145 7.75459</p> <p>0.01475 7.72034</p> <p>0.015 7.68674</p> <p>0.01525 7.65366</p> <p>0.0155 7.6212</p> <p>0.01575 7.58953</p> <p>0.016 7.55833</p> <p>0.01625 7.52745</p> <p>0.0165 7.49677</p> <p>0.01675 7.46607</p> <p>0.017 7.43551</p> <p>0.01725 7.40508</p> <p>0.0175 7.37459</p> <p>0.01775 7.34397</p> <p>0.018 7.31357</p> <p>0.01825 7.28303</p> <p>0.0185 7.25215</p> <p>0.01875 7.22111</p> <p>0.019 7.19005</p> <p>0.01925 7.15883</p> <p>0.0195 7.12722</p> <p>0.01975 7.09539</p> <p>0.02 7.06334</p> <p>0.02025 7.03095</p> <p>0.0205 6.99814</p> <p>0.02075 6.96499</p> <p>0.021 6.93157</p> <p>0.02125 6.89773</p> <p>0.0215 6.86322</p> <p>0.02175 6.8282</p> <p>0.022 6.79267</p> <p>0.02225 6.7565</p> <p>0.0225 6.71985</p> <p>0.02275 6.6827</p> <p>0.023 6.64477</p> <p>0.02325 6.60607</p> <p>0.0235 6.56675</p> <p>0.02375 6.52675</p> <p>0.024 6.48581</p> <p>0.02425 6.4439</p> <p>0.0245 6.40125</p> <p>0.02475 6.35774</p> <p>0.025 6.31309</p> <p>0.02525 6.26742</p> <p>0.0255 6.22078</p> <p>0.02575 6.17321</p> <p>0.026 6.12453</p> <p>0.02625 6.07467</p> <p>0.0265 6.02388</p> <p>0.02675 5.97193</p> <p>0.027 5.91868</p> <p>0.02725 5.86423</p> <p>0.0275 5.80859</p> <p>0.02775 5.75169</p> <p>0.028 5.69341</p> <p>0.02825 5.63397</p> <p>0.0285 5.57294</p> <p>0.02875 5.51116</p> <p>0.029 5.45709</p> <p>0.02925 5.39358</p> <p>0.0295 5.3349</p> <p>0.02975 5.27843</p> <p>0.03 5.21054</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Autothermal steam reforming reactors with thermally conductive walls for hydrogen production
<p><strong>Autothermal steam reforming reactors with thermally conductive walls for hydrogen production</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>It is necessary to provide a reactor where the catalytically active components are immobilized on adjacent sides of the monolith dividing walls such that heat transfer can occur via purely conduction through the wall from one catalytic process to the second catalytic process. It is also necessary to provide a reactor where the monolith body is demountable from the inlet and outlet manifolds such that catalyst replacement and recovery of spent catalyst can be easily performed. It is also necessary to provide a reactor where the heat transfer characteristics are decoupled from the reactant or product fluid velocities such that the system can operate with moderate gas velocities and with low pressure drops. It is also necessary to provide a reactor of low thermal inertia and high heat load such that rapid start up and fast response to load transients can be achieved. The design comprises, in one form thereof, a chemical processing method to thermally contact an endothermic and an exothermic reaction without mixing the two streams, utilizing a thermally coupled monolith reactor. A ceramic or metal monolith is modified to produce a structure containing at least two sets of discrete flow channels and which are separated by a number of common walls. Manifolds are arranged such that one reaction mixture flows through one set of channels and a different reaction mixture flows through the second. Catalytic material, which is active for the relevant reaction, is coated onto the inner walls of each of the sets of channels. The two reactions are chosen such that one is exothermic and one is endothermic, such that the energy required by the endothermic process is supplied directly through the dividing wall from the exothermic process occurring on the opposing side. This method of heat transfer completely decouples the gas phase hydrodynamics from the heat transfer process.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 12.1245</p> <p>0.00025 12.2056</p> <p>0.0005 12.3371</p> <p>0.00075 12.3931</p> <p>0.001 12.3704</p> <p>0.00125 12.2891</p> <p>0.0015 12.1645</p> <p>0.00175 12.0076</p> <p>0.002 11.8272</p> <p>0.00225 11.63</p> <p>0.0025 11.4214</p> <p>0.00275 11.2059</p> <p>0.003 10.987</p> <p>0.00325 10.7674</p> <p>0.0035 10.5496</p> <p>0.00375 10.3354</p> <p>0.004 10.1263</p> <p>0.00425 9.9232</p> <p>0.0045 9.72691</p> <p>0.00475 9.53772</p> <p>0.005 9.35585</p> <p>0.00525 9.18161</p> <p>0.0055 9.01491</p> <p>0.00575 8.85575</p> <p>0.006 8.70412</p> <p>0.00625 8.55976</p> <p>0.0065 8.42235</p> <p>0.00675 8.29183</p> <p>0.007 8.16813</p> <p>0.00725 8.05097</p> <p>0.0075 7.94006</p> <p>0.00775 7.83509</p> <p>0.008 7.73603</p> <p>0.00825 7.64259</p> <p>0.0085 7.55447</p> <p>0.00875 7.47149</p> <p>0.009 7.39325</p> <p>0.00925 7.31962</p> <p>0.0095 7.25041</p> <p>0.00975 7.18541</p> <p>0.01 7.12413</p> <p>0.01025 7.06625</p> <p>0.0105 7.01189</p> <p>0.01075 6.96101</p> <p>0.011 6.91331</p> <p>0.01125 6.86823</p> <p>0.0115 6.82574</p> <p>0.01175 6.78591</p> <p>0.012 6.74833</p> <p>0.01225 6.7128</p> <p>0.0125 6.67938</p> <p>0.01275 6.648</p> <p>0.013 6.61842</p> <p>0.01325 6.5905</p> <p>0.0135 6.56401</p> <p>0.01375 6.53896</p> <p>0.014 6.51549</p> <p>0.01425 6.49316</p> <p>0.0145 6.47196</p> <p>0.01475 6.45184</p> <p>0.015 6.43277</p> <p>0.01525 6.41475</p> <p>0.0155 6.39735</p> <p>0.01575 6.38068</p> <p>0.016 6.36501</p> <p>0.01625 6.35036</p> <p>0.0165 6.33607</p> <p>0.01675 6.32215</p> <p>0.017 6.30899</p> <p>0.01725 6.29632</p> <p>0.0175 6.28384</p> <p>0.01775 6.27168</p> <p>0.018 6.2601</p> <p>0.01825 6.24866</p> <p>0.0185 6.23744</p> <p>0.01875 6.22675</p> <p>0.019 6.21628</p> <p>0.01925 6.20588</p> <p>0.0195 6.19553</p> <p>0.01975 6.18524</p> <p>0.02 6.17518</p> <p>0.02025 6.16499</p> <p>0.0205 6.1546</p> <p>0.02075 6.1444</p> <p>0.021 6.13426</p> <p>0.02125 6.12398</p> <p>0.0215 6.11344</p> <p>0.02175 6.10277</p> <p>0.022 6.09166</p> <p>0.02225 6.08022</p> <p>0.0225 6.06884</p> <p>0.02275 6.05715</p> <p>0.023 6.04483</p> <p>0.02325 6.03193</p> <p>0.0235 6.01875</p> <p>0.02375 6.00527</p> <p>0.024 5.99094</p> <p>0.02425 5.97588</p> <p>0.0245 5.96041</p> <p>0.02475 5.94431</p> <p>0.025 5.92737</p> <p>0.02525 5.90954</p> <p>0.0255 5.89105</p> <p>0.02575 5.87191</p> <p>0.026 5.85159</p> <p>0.02625 5.83007</p> <p>0.0265 5.80776</p> <p>0.02675 5.78416</p> <p>0.027 5.7593</p> <p>0.02725 5.73344</p> <p>0.0275 5.70642</p> <p>0.02775 5.67803</p> <p>0.028 5.64823</p> <p>0.02825 5.61725</p> <p>0.0285 5.58477</p> <p>0.02875 5.55098</p> <p>0.029 5.52507</p> <p>0.02925 5.49861</p> <p>0.0295 5.46342</p> <p>0.02975 5.43244</p> <p>0.03 5.40902</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Data for: Simultaneously enhanced tenacity, rupture work, and thermal conductivity of carbon nanotubes fibers by raising effective tube portion
<p><span>Although individual carbon nanotubes (CNTs) are superior as constituents to polymer chains, the mechanical and thermal properties of CNT fibers (CNTFs) remain inferior to </span><span>synthetic fibers</span><span> due to the failure of embedding CNTs effectively in superstructures. Conventional techniques resulted in a mild improvement of target properties while degrading </span><span>others. Here, a Double-Drawing technique is developed to rearrange the constituent CNTs in both mesoscale and nanoscale morphology. Consequently, the mechanical and thermal properties of the resulting CNTFs can simultaneously reach their highest performances with specific strength ~3.30 N/tex (4.60 GPa), work of rupture ~70 J/g, and thermal conductivity ~354 W/m/K, despite starting from low-crystallinity materials (<em>I</em><sub>G</sub>:<em>I</em><sub>D</sub>~5). The processed CNTFs are more versatile than comparable carbon fiber, Zylon and Dyneema. Based on evidence of load transfer efficiency on individual CNTs measured with In-Situ-Stretching-Raman, we find the main contributors to property enhancements are the increasing of the effective tube contribution, in addition to the known optimization on CNTs alignment and stacking.</span></p>
Quantized Thermal Hall Conductance and the Topological Phase Diagram of a Superconducting Bismuth Bilayer
<p>Data for the topological phase diagrams and thermal Hall effect for the paper "Quantized Thermal Hall Conductance and the Topological Phase Diagram of a Superconducting Bismuth Bilayer". The thermal Hall conductance data is normalised as in figure 4 of the paper.</p> <p>Parameters in the Chern number file names are {t,Delta,Alpha, tp}. For the thermal conductance data as. function of temperature the Chern number is given. All over information can be found in the paper.</p> <p><a href="https://doi.org/10.48550/arXiv.2308.01021">arXiv:2308.01021</a></p> <p> </p>
Data for: Simultaneously enhanced tenacity, rupture work, and thermal conductivity of carbon nanotubes fibers by raising effective tube portion
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Data from: Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester
Open the record for dataset details and reuse information.
Dataset for "Anisotropy of thermal conductivity, thermal expansion coefficient, and seismic wave velocity in oceanic lithosphere--asthenosphere system"
<p>This is the dataset for "Anisotropy of thermal conductivity, thermal expansion coefficient, and seismic wave velocity in oceanic lithosphere--asthenosphere system" by M. Morishige.</p>
Code and data for "Machine-learning-boosted ab-initio study of the thermal conductivity of Janus PtSTe van der Waals heterostructures"
<h1>Code and data for <em>Machine-learning-boosted ab-initio study of the thermal conductivity of Janus PtSTe van der Waals heterostructures</em></h1> <p> </p> <h2>Contents:</h2> <ul> <li><strong>neuralil.tar.xz</strong>: version used in the manuscript of the force-field code described in the articles <a href="https://doi.org/10.1021/acs.jcim.1c01380">A Differentiable Neural-Network Force Field for Ionic Liquids</a> and <a href="https://doi.org/10.1063/5.0146905">Deep ensembles vs committees for uncertainty estimation in neural-network force fields: Comparison and application to active learning</a>. General-purpose releases can be found <a href="https://github.com/Madsen-s-research-group/neuralil-public-releases">here</a>.</li> <li><strong>DFT_data.tar.xz</strong>: first-principles data created for training and validating the force field, stored as <a href="https://wiki.fysik.dtu.dk/ase/ase/db/db.html">ASE databases</a> in JSON format.</li> <li><strong>model_params_plain_ensemble_DEEP_413E12A9.pkl</strong>: saved parameters of the fully trained force field.</li> <li><strong>0001-Use-equipartition-occupancies.patch</strong>: patch for <a href="https://phonopy.github.io/phono3py">Phono3py</a> to use classical (equipartition) occupations instead of Bose-Einstein values.</li> </ul>
Large-scale simulation of thermal conductivity in CaSiO3 perovskite with neuroevolution potential
<p>The dataset contains the thermal conductivity of CaSiO3 perovskit, MgSiO3 perovskite, periclase, as well as the heat flux across the core-mantle boundary.</p>
Data deposit for those used in the figures of publication, named 'Effect of iron content on the thermal conductivity and thermal diffusivity of orthopyroxene', in G3
<p>Data deposit for those used in the figures of publication, named 'Effect of iron content on the thermal conductivity and thermal diffusivity of orthopyroxene', in G3.</p>
Thermal conductivity of carbon dioxide at high pressure
<p>This repository contains experimental data on the thermal conductivity of carbon dioxide (CO2) at high pressures and room temperature. This dataset is presented in a manuscript submitted to Journal of Geophysical Research-Planets by Sean R. Shieh, Wen-Pin Hsieh, Yi-Chih Tsao, Christian Crisostomo, and Han Hsu on January 4, 2022, entitled:</p> <p>Low Thermal Conductivity of Carbon Dioxide at High Pressure: Implications for Icy Planetary Interiors</p>
Low thermal conductivity of hydrous phase D leads to a self-preservation effect within a subducting slab
<p>This repository contains experimental data on the thermal conductivity of hydrous phase D mineral at high pressure and temperature. This dataset is presented in a manuscript submitted by Wen-Pin Hsieh, Enrico Marzotto, Takayuki Ishii, Leonid Dubrovinsky, Alena A. Aslandukova, Giacomo Criniti, Yi-Chi Tsao, Chun-Hung Lin, Jun Tsuchiya, and Eiji Ohtani entitled:</p> <p>Low thermal conductivity of hydrous phase D leads to a self-preservation effect within a subducting slab</p>
Data for paper entitled "Effect of iron content on the thermal conductivity of orthopyroxene with implications for the thermal evolution of S-type asteroids and the thermal structure of the Moon"
<p>This data include all the plat data in the paper "<strong>Effect of iron content on the thermal conductivity of orthopyroxene with implications for the thermal evolution of S-type asteroids and the thermal structure of the Moon"</strong></p>
Data for: Alfvén Pulse-Driven Spicule-like jets in the presence of thermal conduction and ion-neutral collision in a two-fluid regime
<p>The uploaded folder consists of the numerical simulation data and analyses routines of two-fluid JOANNA code that studied the Alfvén pulse-driven spicule-like jets in the presence of thermal conduction and Ion-neutral collision. The code produced the data in .xmf and .h5 formats, which are available for the analysis in the Data folder. The slices folder within Data consists of grid information in X- and -Y, as well as time. Apart from that, these slices consist of the temporal variations of various physical variables, e.g., pressure, density, velocity for ions and neutrals, magnetic field, etc. These slices are utilized in making the distance-time maps as presented in Figs 4-5 in the paper. Each physical variable is finally converted from code units to physical units (S.I or C.G.S. as required) and presented in the paper. The data and its analysis tree are self-descriptive, and each folder contains the instruction files in this context.</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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.