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116 results for “solar cells”
Dataset of "Tuning the morphology and energy levels in organic solar cells with metal- organic framework nanosheets"
<p>Metal-organic framework nanosheets (MONs) have proved themselves to be useful<br>additives for enhancing the performance of a variety of thin film solar cell devices. However,<br>to date only isolated examples have been reported. In this work we take advantage of the<br>modular structure of MONs in order to resolve the effect of their different structural and<br>optoelectronic features on the performance of organic photovoltaic (OPV) devices. Three<br>different MONs were synthesized using different combinations of two porphyrin-based ligands<br>meso-tetracarboxyphenyl porphyrin (TCPP) or tetrapyridyl-porphyrin (TPyP) with either zinc<br>and/or copper ions and the effect of their addition to polythiophene-fullerene (P3HT-PCBM)<br>OPV devices was investigated. The power conversion efficiency (PCE) of devices was found to<br>approximately double with the addition of MONs of Zn2(ZnTCPP), but was unchanged with<br>the addition of Cu2(ZnTPyP) and halved upon the addition of Cu2(CuTCPP) compared to<br>devices without nanosheets. Our analysis indicates that there are three different mechanisms<br>by which MONs can influence the photoactive layer – light absorption, energy level alignment,<br>and morphological changes. Analysis of external quantum efficiency, UV-vis photoelectron<br>spectroscopy data found that MONs have similar effects on light absorption and energy level<br>alignment. However, atomic force and Raman microscopy studies revealed that the nanosheet<br>thickness and lateral size are crucial parameters in enabling the MONs to act as beneficial<br>additives resulting in an improvement of the OPV device performance. We anticipate this<br>study will aid in the design of MONs and other 2D materials for future use in other light<br>harvesting and emitting devices.</p>
Dataset for "An Alternative Chlorine-Assisted Optimization of CdS/Sb2Se3 Solar Cells: Towards Understanding of Chlorine Incorporation Mechanism"
<p>The current strategies in the development of Sb2Se3 thin film solar cells involve fabrication and optimization of<br>superstrate and substrate device architectures, with the preferable choice for TiO2 and CdS heterojunction layers.<br>For CdS-based superstrate cells, several studies reported the necessity to apply CdCl2 or other metal halide-based<br>post-deposition treatment (PDT), highlighting improvement of CdS/Sb2Se3 device efficiency. However, the need,<br>effect, and mechanism of such PDT are very often not described. Additionally, the fact that many groups have not<br>succeeded in demonstrating its benefits suggests that this strategy is not straightforward, requiring a deeper<br>understanding towards a more unified concept. The present study proposes an alternative approach to the<br>challenging CdCl2 PDT of CdS in CdS/Sb2Se3 device, involving controllable Cl incorporation in CdS films by<br>systematically varying the concentration of NH4Cl in the CBD precursor solution from 1 to 8 mM. Structural and<br>electrical characterizations are correlated with advanced measurements of Scanning Kelvin Probe, surface<br>photovoltage, and atomic force microscopy to understand the impact of Cl incorporation on the properties of CdS<br>films and CdS/Sb2Se3 devices. The validity of Cl incorporation in the CdS lattice and interdiffusion processes at<br>the CdS-Sb2Se3 interface is confirmed by secondary ion mass spectrometry analysis. It is demonstrated that<br>incorporation of 1 mM of NH4Cl, as a Cl source in CBD CdS, can boost the PCE of CdS/Sb2Se3 by ~20 %. With this<br>approach, we offer new perspectives on the optimization methodology for Cl-based CdS/Sb2Se3 device processing<br>and complementary understanding of the physiochemistry behind these processes.</p>
Figure 2a - Rossi et al. Design of Highly Efficient Semitransparent Perovskite/Organic Tandem Solar Cells RRL Solar (2022)
<p>The Data set is related to the<strong> figure 2a</strong> of the paper </p> <p>Design of Highly Efficient Semitransparent Perovskite/Organic Tandem Solar Cells by Daniele Rossi,Karen Forberich,Fabio Matteocci,Matthias Auf der Maur,Hans-Joachim Egelhaaf,Christoph J. Brabec,Aldo Di Carlo, Rapid Research Letter (2022) https://doi.org/10.1002/solr.202200242</p>
Database of optical parameters for the simulation of perovskite/silicon solar cells
<p>This dataset contains a set of representative optical parameters, i.e. the wavelength dependent complex refractive index (n+ik), for common materials used in perovskite-silicon tandems. In particular: SnO2, Spiro-MEOTAD, CH3NH3PbI2, a-Si:H, undoped c-Si, MgF.<br> The data are stored in the ASCII file “<em>nk_MaterialParameters.txt</em>”, where for each material, we report three data columns: wavelength (in µm), refractive index <em>n</em> and extinction coefficient <em>k</em>.</p>
Potential of the three-terminal heterojunction bipolar transistor solar cell for space applications
<p>In this video we repeat the presentation we gave at the European Space Power Conference (2019), in JeanLes Pins, describing the potential of the three-terminal heterojunction bipolar transistor solar cell for space applications. There is a paper published in the proceedings of the Conference were you can find more details.</p>
Operation of a multijunction solar cell
<p>Este vídeo ilustra el proceso de absorción de fotones en una célula solar multiunión. En particular, el caso que se ilustra es el de una célula formada por tres uniones cada una de ellas representada por un gap diferente. La luz del Sol está compuesta por fotones de diferentes energías representados en el vídeo por diferentes colores. En la animación observaremos la acción de fotones de 3 colores: azul (con una longitud de onda de unos 380-475 nm), verde (~500-550 nm) y rojo (~645-700 nm). En la representación de los diagramas de bandas correspondientes a cada célula vemos que el fotón más energético (de color azul) es absorbido en la primera célula. Esto es debido a que su energía es igual o mayor al valor de energía del gap de semiconductor correspondiente a la primera célula. Vemos, sin embargo, que los menos energéticos (verde y rojo) la atraviesan sin verse afectados. Esto pasará de nuevo en la siguiente capa, absorbiéndose el verde en esta ocasión. Por último, el rojo será absorbido en la capa final. Cuando un fotón es absorbido, su energía se emplea en excitar un electrón (de color amarillo en la animación) de la banda de valencia a la banda de conducción. Deja atrás una vacante o hueco (de color negro). Es decir, se genera un par electrón-hueco.</p> <p>(Este vídeo es parte de un trabajo de la asignatura de Materiales Funcionales II del Grado de Materiales de la Universidad Politécnica de Madrid del curso 2019-2020 y forma parte de un proyecto para la experimentación en la diseminación en acceso abierto de la docencia en energía solar fotovoltaica del proyecto GRECO).</p> <p> </p> <p> </p> <p>This video illustrates the photon absorption process in a multi-junction solar cell. In particular, the case illustrated is that of a cell formed by three junctions, each one represented by a different gap. Sunlight is made up of photons of different energies represented in the video by different colors. In the animation we observe the action of three coloured photons: blue (with a wavelength of about 380-475 nm), green (~ 500-550 nm) and red (~ 645-700 nm). In the representation of the band diagrams corresponding to each cell we see that the most energetic photon (blue in color) is absorbed in the first cell. This is because its energy is equal to or greater than the energy value of the semiconductor gap corresponding to the first cell. We see, however, that the less energetic ones (green and red) pass through it unaffected. This will happen again in the next layer, absorbing the green this time. Finally, the red will be absorbed in the final layer. When a photon is absorbed, its energy is used to excite an electron (yellow in animation) from the valence band to the conduction band and leaving behind a vacancy or hole (black). That is, an electron-hole pair is generated.</p> <p>(This video is part of a work of the Functional Materials II subject of the Materials Degree of the Universidad Politécnica de Madrid for the 2019-2020 academic year and is part of a project for experimentation in the open access dissemination of energy teaching photovoltaic solar from the GRECO project).</p>
Operation of a three terminal solar cell for children
<p>The video describes in a simple manner the operation of a three terminal solar cell. Blue arrows represent the high energy photons. Red arrows represent the low energy photons, that are absorbed deeper in the cell. Each colored square represents a semiconductor layer. White balls, represent electrons. Black ball represent holes. For a more detailed description of a particular kind of three terminal solar cell, see for example:</p> <p> A. Martí and A. Luque, “Three-terminal heterojunction bipolar transistor solar cell for high-efficiency photovoltaic conversion,” <em>Nat. Commun.</em>, vol. 6, pp. 6902–6902, Apr. 2015. (<a href="https://doi.org/10.1038/ncomms7902">https://doi.org/10.1038/ncomms7902</a>)</p> <p>The video has been created in Blender 2.82. (<a href="https://www.blender.org/">https://www.blender.org/</a>). Both the video and the source file with which we created it are attached</p>
Numerical simulations of AZO/ZnGeO/Cu2O solar cells: Impact of the germanium composition of the buffer layer and the use of low cost fabrication on the photovoltaic performances
<p>The dataset contains the results of the numerical simulations of AZO/ZnGeO/Cu2O solar cell models.</p> <p>The physical parameters of the model are chosen with special care to match literature experimental measurements or are interpolated using the values from binary metal oxides in the case of the new ZnGeO compound. The solar cell structure includes an interface and a defective layer at the ZnGeO/Cu2O heterojunction.</p> <p>The AZO/ZnGeO/Cu2O model results reproduce the photovoltaic characteristics of experimental devices presented by Minami et al. (Applied Physics Express 9, 052301 (2016) DOI:10.7567/APEX.9.052301)</p> <p>The dataset also includes results using models with different germanium compositions for the ZnGeO buffer layer.</p> <p>Other solar cell simulation results are presented to model the impact of low cost fabrication processes, such as spray pyrolysis, by varying the thickness, doping concentration, carrier mobilities and defect concentration of the Cu2O absorber layer as well as the germanium composition of the buffer layer.</p>
Combinatorial and machine learning approaches for the analysis of Cu2ZnGeSe4: influence of the off-stoichiometry on defect formation and solar cell performance
<p>Dataset of the results published in the <a href="https://zenodo.org/record/4742379#.YMzExOgzYmJ">J. Mater. Chem. A, 2021, 9, 10466</a>. The files represent: i) the measured compositional and optoelectronic data of each solar cell, as well as the data generated from the Raman spectra analysis; ii) Raman spectra of the representative cells; iii) Machine Learning discriminants.</p> <p>The elemental composition of the different cells of the combinatorial sample was determined by X-ray fluorescence (XRF) using a Fischerscope XDV system with a 1 mm spot diameter, a 50 kV acceleration voltage, a Ni10 lter and a 45 s acquisition time. Raman analysis with blue (442 nm) and green (532 nm) excitation wavelengths were performed on the bare absorber, while measurements with NIR (785 nm) were performed in complete devices using Horiba Jobin Yvon FHR640 and iHR320 monochromators coupled with CCD detectors. The first monochromator is optimized for the UV and visible spectral ranges and was used with 442 nm (He–Cd gas laser) and 532 nm (solid state laser) excitation wavelengths. The second monochromator is optimized for the NIR range and was used with a 785 nm (solid state laser) excitation wavelength. The power density of the lasers was kept below 150 W cm<sup>2</sup> and the spot size was ~70 <span class="math-tex">\(\mu\)</span>m. The measurements were performed in a backscattering configuration through a specific probe designed at IREC. The J–V characteristics of the devices were obtained under simulated AM1.5 illumination (1000 W m2 intensity at room temperature) using a pre-calibrated Class AAA solar simulator (Abet Technologies Sun 3000).</p>
Arbitrary and active colouring of solar cells with negligible loss of efficiency
<p>This is all the data associated with the journal article. The dataset is organized on a figure-by-figure basis within a compressed ZIP file for ease of access.</p> <ul> <li><strong>Graph Data</strong>: Available in <code>.txt</code> and <code>.xlsx</code> formats, providing raw and processed data used to generate the figures.</li> <li><strong>Images</strong>: All images included in the article are provided in <code>.jpg</code> format.</li> <li><strong>Figure Graphs</strong>: All complete figure graphs are supplied as <code>.pdf</code> files.</li> </ul>
From the hot carrier solar cell to the intermediate band solar cell, passing through the multiple-exciton generation solar cell and then back to the hot carrier solar cell: the Dance of the Electro-chemical Potentials
<p>Presentation titled "From the hot carrier solar cell to the intermediate band solar cell, passing through the multiple-exciton generation solar cell and then back to the hot carrier solar cell: the Dance of the Electro-chemical Potentials" given by Antonio Marti at the 36th European PV Solar Energy Conference and Exhibition in Marseille, in September 2019.</p>
Limiting Efficiency of Heterojunction Solar Cells
<p>In this video we summarize the results of the work titled "Limiting Efficiency of Heterojunction Solar Cells" we published in IEEE Journal of Photovoltaics with DOI: <a href="https://doi.org/10.1109/JPHOTOV.2019.2932626">https://doi.org/10.1109/JPHOTOV.2019.2932626</a>. </p>
Process-structure-property map for organic solar cells
<p>This archive contains:<br> - 1708 morphologies generated using Cahn-Hilliard equation for two parameters: blend ratio in range (0.5-0.63) and chi/interaction parameter (2.3-4.0). Blend ratio and chi are the processing conditions. Morphologies are given in two formats: plt files (srcdata folder) - raw data from simulations, and txt file (data folder) in the row-wise format for Graspi. For quick visualization morphologies are visualized and stored in folder figs.</p> <p>The dataset contains:<br> Five folders:<br> - srcdata: the source data with all plt files (1708 files) generated by Cahn Hilliard equation solver<br> - data: the data used by graspi to compute descriptors (these are txt files stored as row-wise array, the volume fraction has been segmented using tools of graspi)<br> - logs: 1708 log files with the descriptors generated by graspi (native C++ version)<br> - figs: 1708 png files with visualized morphologies</p> <p>Two tables (in comma separated values format):<br> - Combined PSP.csv (combined data on process-structure-property maps), where process information consists of three variables: PHI, CHI, NN (volume fraction, interaction parameter and time step index)<br> - AllPropertiesCurated.csv - File with results from EDD - see reference below for more details</p> <p>One shell script: extractDesc.sh to build CombinedPSP.csv table from three sources: filename (contains info about PHI, CHI, NN), descriptors (graspi and logs), and Jsc (from AllPropertiesCurated.csv)</p> <p>More details on the dataset: Wodo, O., J. Zola, . Pokuri, P. Du, and B. Ganapathysubramanian. "Automated, high throughput exploration of process–structure–property relationships using the mapreduce paradigm." Materials discovery 1 (2015): 21-28.</p> <p> </p>
Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption
<p>Raw Dataset from which the publication of the article "Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption" (10.1002/solr.202200928) is derived.</p>
Buried Interface Engineering Enables Efficient and 1,960-hour Isos-L-2i Stable Inverted Perovskite Solar Cells
<p>High-performance perovskite solar cells (PSCs) typically require interfacial passivation, yet this is challenging for the buried interface, owing to the dissolution of passivation agents during the deposition of perovskites. Here, we overcome this limitation with in-situ buried interface passivation – achieved via directly adding a cyanoacrylic acid-based molecular additive, namely BT-T, into the perovskite precursor solution. Classical and ab-initio molecular dynamics simulations reveal that BT-T spontaneously may self-assemble at the buried interface during the formation of the perovskite layer on a nickel oxide hole transporting layer. The preferential buried interface passivation results in facilitated hole transfer and suppressed charge recombination. In addition, residual BT-T molecules in the perovskite layer enhance its stability and homogeneity. We report a power-conversion efficiency (PCE) of 23.48% for 1.0 cm2 inverted-structure PSCs. The encapsulated PSC retains 95.4% of its initial PCE following 1,960-hour maximum power point tracking under continuous light illumination at 65°C (i.e., ISOS-L-2I protocol). Our demonstration of operating-stable PSCs under accelerated ageing conditions represents a step closer to the commercialization of this emerging technology.</p>
Dataset for study "Band gap engineering by cationic substitution in Sn(Zr1-xTix)Se3 alloy for bottom sub-cell application in solar cells"
<p>This dataset contains raw and processed data that were used to for the study entilted "Band gap engineering by cationic substitution in Sn(Zr1-xTix)Se3 alloy for bottom sub-cell application in solar cells". </p>
Data for "Lone-pair effect on carrier capture in Cu2ZnSnS4 solar cells"
<p>Data for "Lone-pair effect on carrier capture in Cu2ZnSnS4 solar cells"</p> <p>Dataset required for the analysis for "<a href="https://pubs.rsc.org/en/content/articlelanding/2019/ta/c8ta10130b">Lone-pair effect on carrier capture in Cu2ZnSnS4 solar cells</a>". The dataset consists of:</p> <ul> <li>Crystal structures upon which first-principles (DFT) calculations were carried out in the original publication (DFT_calculations.tar)</li> <li>Python script to reproduce figures and data in the publication (data_process.zip)</li> </ul>
Transient Optoelectronic Analysis of the Impact of Material Energetics and Recombination Kinetics on the Open-Circuit Voltage of Hybrid Perovskite Solar Cells
<p>This is the data presented in the article 'Transient Optoelectronic Analysis of the Impact of Material Energetics and Recombination Kinetics on the Open-Circuit Voltage of Hybrid Perovskite Solar Cells' published in The Journal of Physical Chemistry C, DOI: 10.1021/acs.jpcc.7b02411.</p>
Host-guest complexation in wide bandgap perovskite solar cells
<p>Wide bandgap hybrid halide perovskites are increasingly relevant in the fabrication of tandem solar cells. However, their efficiency and stability during operation are still limited by several factors, among which ion migration at the interface with charge-selective extraction layers is one of the most detrimental ones. Herein, we employ a host-guest complexation strategy to control interfacial ion migration by using dibenzo-21-crown-7 in wide bandgap hybrid halide perovskites based on methylammonium (MA) lead bromide. We demonstrate the capacity of the crown ether to affect the performances and stabilities of MAPbBr3 solar cells. As a result, we achieve power conversion efficiencies up to 5.9% with an open circuit voltage as high as 1.5 V, which is accompanied by stability over 300 h at 85 °C under nitrogen atmosphere, as well as more than 300 h at ambient temperature, maintaining ∼80% of initial performance. This represents a versatile strategy for wide bandgap photovoltaic devices.</p>
Dataset of "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"
<p>This dataset supports the article published<em> </em>in the Advanced Energy Materials:</p> <p>"Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"</p> <p> </p> <p>Raw data for the article "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models". For further details see the readme.txt file.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.