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41 results for “Thermoelectric”
Data associated with the following publication: "Giant thermoelectric response of confined electrolytes with thermally activated charge carrier generation"
<p>Data associated with the following publication: "Giant thermoelectric response of confined electrolytes with thermally activated charge carrier generation" (DOI: <a title="" href="https://doi.org/10.48328/tudatalib-1376">https://doi.org/10.48328/tudatalib-1376</a>)</p>
Battery-less Environment Sensor Using Thermoelectric Energy Harvesting From Soil-Ambient Air Temperature Differences
<p>The data set contains the data collected from experiments sites in Belgium ( Campus Drie Eiken, University of Antwerp, 51.161° N, 4.408° W) and Iceland ( Forhot, 64.008° N, 21.178° W) for the research and evaluation of a battery-less environment sensor powered by energy harvesting. The device uses the temperature difference between soil and air to produce energy with the help of a Thermoelectric Generator (TEG) and powers a wireless sensor node. The data set includes data collected from 2 phases of the study. One during the initial evaluation phase where we collected soil temperatures at 15 cm and air temperature to evaluate the possibilities of producing energy from the temperature differences. Using these data, we estimated the energy production capacity for both sites. Further, a proof-of-concept device was developed, and its performance was evaluated with field experiments. During this process, we collected the voltage level of the storage unit, i.e, the capacitor, air and soil temperatures and the TEG output voltage. During both phases, the same methods were employed to collect data. The voltage values were measured with a 12-bit ADC and the temperature was measured with 1-Wire temperature sensor. Further, the collected data were transferred to cloud storage in real-time for further analysis and evaluation. </p> <ul> <li><strong>cde_mseasurements_oct2020-nov2020.csv</strong> <ul> <li> Soil temperature and air temperature data from the Campus Drie Eiken at the University of Antwerp, Belgium. The data were collected from 2 Oct 2020 to 17 Nov 2020.</li> </ul> </li> <li><strong>cde_teg_measurements.csv</strong> <ul> <li>Soil temperature, ambient temperature and the open-circuit voltage of TEG from Campus Drie Eiken at the University Antwerp, Belgium from 21 Apr 2021 to 25 Apr May 2021. Also includes the difference calculated between the two temperature values.</li> </ul> </li> <li><strong>cde_energy_simulated.csv</strong> <ul> <li>Energy production capacity estimated using the temperature data collected from Campus Drie Eiken at the University of Antwerp.</li> </ul> </li> <li><strong>aui_measurements_nov-2021.csv</strong> <ul> <li>Soil temperature and air temperature data from the Forhot research site in Iceland for the month of November 2021.</li> </ul> </li> <li><strong>aui_teg_measurements.csv</strong> <ul> <li>Soil temperature, ambient temperature and the open-circuit voltage of TEG collected from the Forhot research site in Iceland. Also includes the difference calculated between the two temperature values. The data were collected from 18 Nov 2021 to 30 Nov 2021</li> </ul> </li> <li><strong>aui_energy_simulated.csv</strong> <ul> <li>Energy production capacity estimated using the temperature data collected from the Forhot research site in Iceland.</li> </ul> </li> <li><strong>cde_capacitor_voltage.csv</strong> <ul> <li>The voltage level of the capacitor used by the battery-less device to buffer the harvested energy. The device was deployed at the Campus Drie Eiken and the data collection was carried out from 1 Mar 2022 to 12 Apr 2022. A 15 mF supercapacitor was used. </li> </ul> </li> </ul>
Dataset for "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester"
<p>Dataset including all data used for the elaboration of the work "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester" published in Advanced Materials Technologies, 2022</p> <p><a href="https://doi.org/10.1002/admt.202101715">https://doi.org/10.1002/admt.202101715</a></p> <p>The files includes:</p> <p>· INDIVIDUAL NW data:</p> <p> - I-V data of each NW at different temperatures</p> <p> - 3w data of each NW at different temperatures<br> - 4 SEM images of the NW, each of them used for assessing one NW parameter<br> - Tip: NW diameter 2<br> - Base: NW diameter 1<br> - Overall: NW length<br> - Tilted view at 45º: Relative NW heigh over substrate</p> <p>· SEEBECK MEASUREMENT data:</p> <p> - Voc versus applied dT data for each substrate temperature<br> - File containig calibration data for all resistors</p> <p>· TEM data:</p> <p>-TEM images of the studied NWs in .dm3 format.</p> <p>· X-RAY FLUORESCENCE data:</p> <p>- Maps containing one energy spectrum per pixel in .hdf files.</p> <p>· TIP-ENHANCED RAMAN SPECTROSCOPY data:</p> <p>- Maps containing one energy spectrum per pixel in a tabulated .txt file.</p> <p>· POWER HARVESTED data:</p> <p>- IV curves of each microthermocouple connection X-Y upon different substrate temperatures in tabulated separated .txt files</p>
Data presented in the article entitled "Thermoelectric Inks and Power Factor Tunability in Hybrid Films through All Solution Process"
<p>Summary of the data plots presented in the article entitled "Thermoelectric Inks and Power Factor Tunability in Hybrid Films through All Solution Process".</p>
Raw data for the plots in the article entitled "Thermoelectric Inks and Power Factor Tunability in Hybrid Films through All Solution Process"
<p>Raw data for the plots in the article entitled "Thermoelectric Inks and Power Factor Tunability in Hybrid Films through All Solution Process"</p> <p>https://doi.org/10.1021/acsami.1c24392 </p> <p>ACS Appl. Mater. Interfaces 2022, 14, 19295−19303</p>
Dataset for "Superior thermoelectric performance of SiGe NWs epitaxially integrated into thermal micro-harvesters"
<p>This is the dataset for the work "Superior thermoelectric performance of SiGe NWs epitaxially integrated into thermal micro-harvesters"</p> <p>The files include:</p> <p>· INDIVIDUAL NW data:</p> <p> - I-V data of each NW at different temperatures<br> - SEM images of the NW, each of them used for assessing one NW parameter<br> - Tip: NW diameter 2<br> - Base: NW diameter 1<br> - Overall: NW length<br> - Tilted view at 45º: Relative NW heigh over the substrate</p> <p>· SEEBECK MEASUREMENT data:</p> <p> - Voc versus applied dT data for each substrate temperature<br> - File containing calibration data for all resistors</p> <p>· POWER HARVESTED data:</p> <p> - I-V curves of each microthermocouple connection X-Y upon different substrate temperatures in tabulated separated .txt files<br> - Summary of Individual microthermocouple results (Results_Individual) in tabulated separated .txt files<br> - Summary of Combination of several microthermocouples in series (Results_Combinations) in tabulated separated .txt files</p>
Poly(benzodifurandione) Coated Silk Yarn for Thermoelectric Textiles
<p>Each file reports the raw data used for the corresponding figure indicated in the file name. </p> <p>For more details about the methods and instrument, please refer to Section 4 "Experimental Section".</p>
Thin film Tin Selenide (SnSe) Thermoelectric Generators Exhibiting Ultra-Low Thermal Conductivity
<p>Raw data from plots in "Thin film Tin Selenide (SnSe) Thermoelectric Generators Exhibiting Ultra-Low Thermal Conductivity"</p>
Thermoelectric sample Cu2.3Mn0.7GeS4 - M289 - Enargite phase
<p><strong><em>M289-Enargite</em></strong></p> <p>The following submission contains the data collection and processing of datasets for the sample M289, with composition Cu2.3Mn0.7GeS4 - Enargite phase, in the framework of the publication: Pavan Kumar, V., Passuti, S., Zhang, B., Fujii, S., Yoshizawa, K., Boullay, P., ... & Guilmeau, E. (2022). Engineering Transport Properties in Interconnected Enargite‐Stannite Type Cu2+ xMn1− xGeS4 Nanocomposites. <em>Angewandte Chemie International Edition</em>, <em>61</em>(49), e202210600.</p> <p>A crystal was identified, and precession data acquisition techniques were used to collect datasets on the same crystal. The data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder.</p> <p><strong>Precession:</strong></p> <table> <tbody> <tr> <td> <p><strong>General information:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Project</p> </td> <td> <p>NanED (www.naned.eu)</p> </td> </tr> <tr> <td> <p>ESR Project</p> </td> <td> <p>ESR12</p> </td> </tr> <tr> <td> <p>Project Label</p> </td> <td> <p>Cu2+xMn1-xGeS4</p> </td> </tr> <tr> <td> <p>Sample Label</p> </td> <td> <p>Cu2.3Mn0.7GeS4</p> </td> </tr> <tr> <td> <p>Data set Label</p> </td> <td> <p>Cu2.3Mn0.7GeS4-Enargite-PEDT</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Instrumental:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Instrument</p> </td> <td> <p>Transmission electron microscope Jeol F200</p> </td> </tr> <tr> <td> <p>Radiation source</p> </td> <td> <p>Cold FEG</p> </td> </tr> <tr> <td> <p>Accelerating voltage</p> </td> <td> <p>200 kV</p> </td> </tr> <tr> <td> <p>Wavelength</p> </td> <td> <p>0.0251 Å</p> </td> </tr> <tr> <td> <p>Probe Type</p> </td> <td> <p>Microdiffraction</p> </td> </tr> <tr> <td> <p>Beam Diameter</p> </td> <td> <p>70nm</p> </td> </tr> <tr> <td> <p>Beam Convergence</p> </td> <td> <p>Parallel beam, convergence <0.1mrad</p> </td> </tr> <tr> <td> <p>Detector</p> </td> <td> <p>Hybrid pixel detector ASI Cheetah M3 (bottom mounted)</p> </td> </tr> <tr> <td> <p>Number of pixels in the image</p> </td> <td> <p>512 x 512</p> </td> </tr> <tr> <td> <p>Pixel size</p> </td> <td> <p>55 µm x 55 µm</p> </td> </tr> <tr> <td> <p>Effective camera length</p> </td> <td> <p>200 mm</p> </td> </tr> <tr> <td> <p>Calibration constant</p> </td> <td> <p>0.00 716 Å<sup>-1</sup>/pixel</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Sample description:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Name</p> </td> <td> <p>Enargite</p> </td> </tr> <tr> <td> <p>Chemical composition</p> </td> <td> <p>Cu<sub>2.3</sub>Mn<sub>0.7</sub>GeS<sub>4</sub></p> </td> </tr> <tr> <td> <p>Sample preparation</p> </td> <td> <p>Powder crushed on a mortar and dispersed in n-butanol, drop deposited on a Cu grid with holey C film</p> </td> </tr> <tr> <td> <p><strong>Experimental:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Data Type</p> </td> <td> <p>Electron diffraction data - 3D ED</p> </td> </tr> <tr> <td> <p>Data collection method</p> </td> <td> <p>PEDT</p> </td> </tr> <tr> <td> <p>Temperature (K) used during data collection</p> </td> <td> <p>293 K</p> </td> </tr> <tr> <td> <p>Number of crystals contributing to the data set</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Number of experimental frames</p> </td> <td> <p>102</p> </td> </tr> <tr> <td> <p>tilt range, tilt step, tilt per frame</p> </td> <td> <p>-39.9° to +60.5°, 1°, 0°</p> </td> </tr> <tr> <td> <p>Precession angle</p> </td> <td> <p>1.2°</p> </td> </tr> <tr> <td> <p>Exposure time per frame</p> </td> <td> <p>500ms</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Software:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Software used for the data collection</p> </td> <td> <p>Instamatic software</p> </td> </tr> <tr> <td> <p>Software used for processing</p> </td> <td> <p>PETS2 (ver 2.1.20211012.1037)</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Authorship and bibliography</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Author(s) of the data</p> </td> <td> <p>Sara Passuti (ESR12)</p> </td> </tr> <tr> <td> <p>Related data</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Publication(s)</p> </td> <td> <p>Engineering Transport Properties in Interconnected Enargite-Stannite Type Cu2+xMn1-xGeS4 Nanocomposites</p> <p>DOI 10.1002/anie.202210600</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Files and data formats</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Image folder</p> </td> <td> <p>raw-data\tiff: Folder containing images of the diffraction pattern from each frames.</p> </td> </tr> <tr> <td> <p>Image format</p> </td> <td> <p>tiff_16bit</p> </td> </tr> <tr> <td> <p>Additional folders/files</p> </td> <td> <p>M289.tif : image of the crystal</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p>M289-Enargite.pts2 :input file for the program PETS2 used for processing the data</p> </td> </tr> </tbody> </table> <p> </p> <table> <tbody> <tr> <td> <p><strong>Notes:</strong></p> <p> </p> <p> </p> </td> </tr> </tbody> </table> <p> </p>
Thermoelectric sample Cu2.3Mn0.7GeS4 - M289 - Stannite phase
<p><strong><em>M289-Stannite</em></strong></p> <p>The following submission contains the data collection and processing of datasets for the sample M289, with composition Cu2.3Mn0.7GeS4 - Stannite phase, in the framework of the publication: Pavan Kumar, V., Passuti, S., Zhang, B., Fujii, S., Yoshizawa, K., Boullay, P., ... & Guilmeau, E. (2022). Engineering Transport Properties in Interconnected Enargite‐Stannite Type Cu2+ xMn1− xGeS4 Nanocomposites. <em>Angewandte Chemie International Edition</em>, <em>61</em>(49), e202210600.</p> <p>A crystal was identified, and precession data acquisition techniques were used to collect datasets on the same crystal. The data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder.</p> <p><strong>Precession:</strong></p> <table> <tbody> <tr> <td> <p><strong>General information:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Project</p> </td> <td> <p>NanED (www.naned.eu)</p> </td> </tr> <tr> <td> <p>ESR Project</p> </td> <td> <p>ESR12</p> </td> </tr> <tr> <td> <p>Project Label</p> </td> <td> <p>Cu2+xMn1-xGeS4</p> </td> </tr> <tr> <td> <p>Sample Label</p> </td> <td> <p>Cu2.3Mn0.7GeS4</p> </td> </tr> <tr> <td> <p>Data set Label</p> </td> <td> <p>Cu2.3Mn0.7GeS4-Stannite-PEDT</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Instrumental:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Instrument</p> </td> <td> <p>Transmission electron microscope Jeol F200</p> </td> </tr> <tr> <td> <p>Radiation source</p> </td> <td> <p>Cold FEG</p> </td> </tr> <tr> <td> <p>Accelerating voltage</p> </td> <td> <p>200 kV</p> </td> </tr> <tr> <td> <p>Wavelength</p> </td> <td> <p>0.0251 Å</p> </td> </tr> <tr> <td> <p>Probe Type</p> </td> <td> <p>Microdiffraction</p> </td> </tr> <tr> <td> <p>Beam Diameter</p> </td> <td> <p>70nm</p> </td> </tr> <tr> <td> <p>Beam Convergence</p> </td> <td> <p>Parallel beam, convergence <0.1mrad</p> </td> </tr> <tr> <td> <p>Detector</p> </td> <td> <p>Hybrid pixel detector ASI Cheetah M3 (bottom mounted)</p> </td> </tr> <tr> <td> <p>Number of pixels in the image</p> </td> <td> <p>512 x 512</p> </td> </tr> <tr> <td> <p>Pixel size</p> </td> <td> <p>55 µm x 55 µm</p> </td> </tr> <tr> <td> <p>Effective camera length</p> </td> <td> <p>200 mm</p> </td> </tr> <tr> <td> <p>Calibration constant</p> </td> <td> <p>0.00 716 Å<sup>-1</sup>/pixel</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Sample description:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Name</p> </td> <td> <p>Stannite</p> </td> </tr> <tr> <td> <p>Chemical composition</p> </td> <td> <p>Cu<sub>2.3</sub>Mn<sub>0.7</sub>GeS<sub>4</sub></p> </td> </tr> <tr> <td> <p>Sample preparation</p> </td> <td> <p>Powder crushed on a mortar and dispersed in n-butanol, drop deposited on a Cu grid with holey C film</p> </td> </tr> <tr> <td> <p><strong>Experimental:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Data Type</p> </td> <td> <p>Electron diffraction data - 3D ED</p> </td> </tr> <tr> <td> <p>Data collection method</p> </td> <td> <p>PEDT</p> </td> </tr> <tr> <td> <p>Temperature (K) used during data collection</p> </td> <td> <p>293 K</p> </td> </tr> <tr> <td> <p>Number of crystals contributing to the data set</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Number of experimental frames</p> </td> <td> <p>99</p> </td> </tr> <tr> <td> <p>tilt range, tilt step, tilt per frame</p> </td> <td> <p>-35.8° to +61.5°, 1°, 0°</p> </td> </tr> <tr> <td> <p>Precession angle</p> </td> <td> <p>1.2°</p> </td> </tr> <tr> <td> <p>Exposure time per frame</p> </td> <td> <p>500ms</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Software:</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Software used for the data collection</p> </td> <td> <p>Instamatic software</p> </td> </tr> <tr> <td> <p>Software used for processing</p> </td> <td> <p>PETS2 (ver 2.1.20211012.1037)</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Authorship and bibliography</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Author(s) of the data</p> </td> <td> <p>Sara Passuti (ESR12)</p> </td> </tr> <tr> <td> <p>Related data</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Publication(s)</p> </td> <td> <p>Engineering Transport Properties in Interconnected Enargite-Stannite Type Cu2+xMn1-xGeS4 Nanocomposites</p> <p>DOI 10.1002/anie.202210600</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Files and data formats</strong></p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Image folder</p> </td> <td> <p>raw-data\tiff: Folder containing images of the diffraction pattern from each frames.</p> </td> </tr> <tr> <td> <p>Image format</p> </td> <td> <p>tiff_16bit</p> </td> </tr> <tr> <td> <p>Additional folders/files</p> </td> <td> <p>M289.tif : image of the crystal</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p>M289-Stannite.pts2 :input file for the program PETS2 used for processing the data</p> </td> </tr> </tbody> </table> <p> </p> <table> <tbody> <tr> <td> <p><strong>Notes:</strong></p> <p> </p> <p> </p> </td> </tr> </tbody> </table>
Data associated with the following publication: "A fully automated measurement system for the characterization of micro thermoelectric devices near room temperature"
<p>Data associated with the following publication: "A fully automated measurement system for the characterization of micro thermoelectric devices near room temperature" (DOI: <a href="https://doi.org/10.1016/j.applthermaleng.2023.120111">10.1016/j.applthermaleng.2023.120111</a>).</p>
Metal halide thermoelectrics: prediction of high-performance CsCu2I3
<p>Optimized crystal structures of CsCu<sub>2</sub>I<sub>3</sub> (<em>Cmcm</em> and <em>Amm</em>2); force constant sets of <em>Amm</em>2 structure; and raw AMSET input/output files.</p>
Dataset associated with "Thermoelectric signature of individual skyrmions"
<p>Dataset for the article: A. Fernández Scarioni, C. Barton, H. Corte-León, S. Sievers, X. Hu, F. Ajejas, W. Legrand, N. Reyren, V. Cros, O. Kazakova, H. W. Schumacher, “Thermoelectric signature of individual skyrmions,” Phys. Rev. Lett.</p> <p>The data is divided in figures and for each figure we report the raw data.</p> <p>For more information follow the Readme.txt file</p> <p>.</p>
PUDL Raw EIA Thermoelectric Cooling Water
<p>Monthly cooling water usage by generator and boiler. Data collected in conjunction with the EIA-860 and EIA-923. Archived from <a href="https://www.eia.gov/electricity/data/water">https://www.eia.gov/electricity/data/water</a></p> <p>This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by <a href="https://catalyst.coop">Catalyst Cooperative</a>. It is organized into <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Packages</a>. For additional information about this data and PUDL, see the following resources: </p><ul> <li><a href="https://github.com/catalyst-cooperative/pudl">The PUDL Repository on GitHub</a></li> <li><a href="https://catalystcoop-pudl.readthedocs.io">PUDL Documentation</a></li> <li><a href="https://zenodo.org/communities/catalyst-cooperative/">Other Catalyst Cooperative data archives</a></li> </ul> <p></p>
Data for 'Y2Ti2O5S2 – a promising n-type oxysulphide for thermoelectric applications'
<p>The optimised Y2Ti2O5S2 structures used in the calculations, the AMSET inputs and outputs, including both n- and p-type transport data, and lattice thermal conductivity data.</p>
Nonequilibrium steady-state thermoelectrics in Kondo-correlated quantum dots: Data
<p>Data sets generated using NRG-tDMRG for the manuscript titled "Nonequilibrium steady-state thermoelectric in the Kondo-correlated quantum dots".</p>
PUDL Raw EIA Thermoelectric Cooling Water Data
<p>US Energy Information Administration (EIA) thermoelectric cooling water dataset includes generator type and ID, boiler ID, fuel consumption, water source, discharge location, and more. Archived from <a href="https://www.eia.gov/electricity/data/water/">https://www.eia.gov/electricity/data/water/</a></p> <p>This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by <a href="https://catalyst.coop">Catalyst Cooperative</a>. It is organized into <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Packages</a>. For additional information about this data and PUDL, see the following resources:</p> <ul> <li><a href="https://github.com/catalyst-cooperative/pudl">The PUDL Repository on GitHub</a></li> <li><a href="https://catalystcoop-pudl.readthedocs.io">PUDL Documentation</a></li> <li><a href="https://zenodo.org/communities/catalyst-cooperative/">Other Catalyst Cooperative data archives</a></li> </ul> <p> </p>
Crystal electric field contribution to the thermoelectric power of the CeCoAl4 antiferromagnetic
<p>We report on the thermoelectric power S(T), electrical resistivity and thermal conductivity measurements on the antiferromagnetic CeCoAl<sub>4</sub> compound and on the nonmagnetic reference compound, LaCoAl<sub>4</sub>. The Neel temperature of CeCoAl<sub>4</sub> is T<sub>N</sub> = 13.5K and a metamagnetic-like transition occurs in the magnetic field of about 7.5T. We show that the magnetic contribution to the thermoelectric power, S<sub>f</sub> (T), exhibits a large peak due to the crystal electric field (CEF) at about 240K and a small anomaly around the ordering temperature. Surprisingly, the CEF related S<sub>f</sub> (T) peak is close to the upper CEF excitation energy <span class="math-tex">\(\Delta_2\)</span> = 202K, in contrast to the usual case of the peak position being located at a fraction of the observed CEF energy level. The applicability of different theoretical and phenomenological models describing the temperature dependence of the Seebeck effect S<sub>f</sub> (T) has been tested and finally a calculation is proposed, which incorporates a full CEF levels scheme.</p>
Grain Boundary Engineering Enhances the Thermoelectric Properties of Y2Te3
<div> <p>The performance of thermoelectric materials is typically assessed using the dimensionless figure of merit, <em>zT</em>. Increasing <em>zT</em> is challenging due to the intricate relationships between electrical and thermal transport properties. This study focuses on Y<sub>2</sub>Te<sub>3</sub>-based thermoelectric materials, which are predicted to be promising for high-temperature applications due to their inherently low lattice thermal conductivity. A series of Y<sub>2+x</sub>Te<sub>3</sub> compositions with excess Y was synthesized to explore the effects on electronic and structural characteristics. Density functional theory calculations suggest that additional Y atoms increase charge carriers, thereby enhancing electrical conductivity and boosting thermoelectric performance. X-ray diffraction analysis reveals that the presence of excess Y reduces lattice volume and alters bonding structures. Furthermore, the addition of Bi significantly enhances the power factor by promoting the segregation of elemental Bi particles and the formation of Y-Bi-rich grain boundaries, which improve weighted mobility. This microstructural optimization leads to a fourfold increase in the Seebeck coefficient, resulting in a peak <em>zT</em> of 1.23 at 973 K and a predicted maximum conversion efficiency of 10.3% under a temperature difference of 673 K. These findings highlight the potential of Y<sub>2</sub>Te<sub>3</sub> for high-temperature thermoelectric applications and demonstrate the effectiveness of grain boundary engineering in enhancing thermoelectric performance.</p> <p> </p> <p>DOI: <a href="https://doi.org/10.1002/aenm.202404243">10.1002/aenm.202404243</a></p> </div>
Optimization of the composition Eu5+xAl3+ySb6 and thermoelectric figure of merit
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