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Prediction Of Semiconductor Photovoltaic Cell Performance From Terahertz And Microwave Spectroscopy

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April 23, 2022
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Femtosecond Laser Laboratory 

In Dr. Dennis Friedrich’s femtosecond laser laboratory at HZB, the transport properties of semiconductors can be determined using terahertz or microwave spectroscopy. For this function, a light laser pulse first excites the cost carriers in the material, which are then irradiated with electromagnetic waves (either THz or Microwaves) and account for several of them. Credit score: HZB

Many semiconductor supplies are achievable candidates for photovoltaic cells. In recent times, perovskite semiconductors have particularly attracted consideration, as they are both cheap and easy to use and allow for over-efficiency. Now, a study with 15 collaborative analytical facilities has revealed how terahertz (TRTS) and microwave spectroscopy (TRMC) can be used to reliably decide mobility and longevity. of cost carriers in new semiconductor supplies. By using these measurement information, you can predict the potential efficiency of the photovoltaic cell and classify the losses in the finished cell.

An important property of semiconductors used as photovoltaic cells is the mobility and longevity of electrons and “holes”. Each section can be measured without exposure to spectroscopic strategies using terahertz or microwave radiation. However, the measurement information in the literature often differs by orders of magnitude. This has made their use troublesome to reliably judge the quality of premium fabrics.

Measured reference samples

Dr Hannes Hempel from the HZB workforce led by Dr Thomas Unold said: “We wanted to tackle these variations and contacted experts from 15 laboratories worldwide to study them. typical sources of error and problems with measurement”. HZB physicists send reference samples produced by Dr Martin Stolterfoht’s workforce at the University of Potsdam to every laboratory with the perovskite semiconductor compound (Cs, FA, MA) Pb(I, Br) 3) optimized for stability.

Higher information for higher prediction

One result of the joint work is the dedication of significantly more precise transport characteristics with terahertz or microwave spectroscopy. “We were able to establish a number of neural factors that need to be thought of earlier than precise measurements, allowing us to achieve significantly higher resolution results,” notes Hempel. .

Another result of the study: With more reliable measurement information and superior evaluation, the characteristics of the photovoltaic cell will also be calculated more accurately. “We consider this evaluation an interesting curiosity for photovoltaic analysis, as it predicts the maximum achievable performance of the fabric in the photocell and reveals the image,” says Unold. effects of various types of loss mechanisms, reminiscent of transport limitations,” said Unold. This applies not only to the fabric of perovskite semiconductors, but also to other new sources of semiconductor supplies, which can therefore be quickly tested for their potential suitability.

Reference: “Prediction of Photovoltaic Cell Efficiency from Terahertz and Microwave Spectroscopy” by Hannes Hempel, Tom J. Savenjie, Martin Stolterfoht, Jens Neu, Michele Failla, Vaisakh C. Paingad, Petr Kužel, Edwin J. Heilweil , Jacob A. Spies, Markus Schleuning, Jiashang Zhao, Dennis Friedrich, Klaus Schwarzburg, Laurens DA Siebbeles, Patrick Dörflinger, Vladimir Dyakonov, Ryuzi Katoh, Min Ji Hong, John G. Labram, Maurizio Monti, Edward Butler-Caddle, James Lloyd -Hughes, Mohammad M. Taheri, Jason B. Baxter, Timothy J. Magnanelli, Simon Luo, Joseph M. Cardon, Shane Ardo and Thomas Unold, February 26, 2022, Premium Power Supplies.
DOI: 10.1002 / aenm.202102776

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