journal article·2020-09-28Open access

Effects of Photonic Curing Processing Conditions on MAPbI3 Film Properties and Solar Cell Performance

Weijie Xu, Trey B. Daunis, Robert T. Piper, Julia W.P. Hsu

ACS Applied Energy Materials· Volume 3· Issue 9

Abstract

Thermal annealing is the most used postdeposition materials processing method in laboratory research, but due to its slow speed and high energy cost, it is not compatible with the upscaling and commercialization of perovskite solar cell (PSC) manufacturing. Here, we adapt photonic curing (PC), which uses millisecond light pulses to deliver energy to the sample, to replace thermal annealing for crystallization of methylammonium lead iodide (MAPbI3) films and rapid fabrication of PSCs. We study how PC conditions affect the outcome of MAPbI3 conversion from the precursor to the crystalline perovskite phase by evaluating the films’ optical, crystalline, and morphological properties, as well as PSC performance. The results are understood using simulated film temperature profiles. We show that MAPbI3 is readily converted under a wide range of PC conditions. While previous reports all used short pulses (<3 ms), we find that longer pulses produce more dense films and higher-performing PSCs. We achieve a champion power conversion efficiency in a PC-processed MAPbI3 PSC of 11.26% under forward scan and 10.34% under reverse scan, with the processing time for the MAPbI3 layer reduced by 30,000-fold, from 10 min to 20 ms. Using a 6 in. lamp, spatial uniformity tests show a cross-web efficiency variation of 5%. Our results indicate that using longer pulse lengths, >10 ms, is the best PC strategy for perovskite conversion, and PC is a promising annealing method for large-area, high-throughput PSC manufacturing.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Chalcogenide Semiconductor Thin Films · Quantum Dots Synthesis And Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science & Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States

Funding

Solar Energy Technologies Program · Texas Instruments Incorporated

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