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High short-circuit current in PTB7-Th:ITIC organic solar cells induced by pulsed laser deposited MoO<sub>3</sub> layer

dataset
posted on 2025-10-02, 11:26 authored by Godwin Ugwuanyi, Martin EzeMartin Eze, Sukhwinder SinghSukhwinder Singh, Hamed Abdullah Emjahed Ifheema Ifheema, Victoria G. Rocha, Bo HouBo Hou, Min GaoMin Gao
<p dir="ltr">This dataset supports the manuscript entitled "High short-circuit current in PTB7-Th:ITIC organic solar cells induced by pulsed laser deposited MoO3 layer." The short-circuit current is one of the important parameters that affects the conversion efficiency of solar cells. The manuscript reports a discovery of the highest short circuit current density of 43.6 mA/cm3 in organic solar cells, which can have significant impact on the direction of organic solar cell research. The key evidence to support this discovery is the experimental results from the current-voltage (I-V) measurements. The dataset here is the source data of I-V measurements on the solar cell reported in the manuscript, which includes:</p><p dir="ltr">I-V data of the organic solar cells with MoO3 layer prepared using different laser ablation energies</p><p dir="ltr">I-V data of the organic solar cells without MoO3 for comparative study</p><p dir="ltr">I-V data of a commercial silicon solar cell as a reference</p><p dir="ltr">I-V data performed under different conditions (dark, light, forward or reverse, etc.)</p><p dir="ltr">The dataset is divided into two groups. These with the file name containing the word "raw" represent the original measurement results, which include all measured parameters by the instrument. These with the file name containing the word "processed" indicate that the data consists of only I-V data for producing the figures in the manuscript without other irrelevant data.</p><p><br></p>

Funding

Identifying Cost Effective Routes To Optimised Energy Recovery For The Fuel Economy Of Vehicles

Engineering and Physical Sciences Research Council

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Scalable Solar Thermoelectrics and Photovaltaics. (SUNTRAP)

Engineering and Physical Sciences Research Council

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History

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Excel

Data-collection start date

2019-04-15

Data-collection end date

2024-02-29

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