2026-05-31T08:22:31Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/388732026-02-03T10:53:17Zcom_10630_2254col_10630_37953

Microscale image encoding on metal halide perovskite thin films for anti-counterfeiting applications Ramos-Terrón, Susana De Miguel, Gustavo Leinen, Dietmar Munilla-Fajardo, Jorge Romero-Gómez, Pablo Perovskita - Innovaciones tecnológicas Aprendizaje automático Metal halide perovskite thin films are a demand in many technological areas since they fulfill the requirements expected in different applications, including solar cells and LEDs. In this article, we demonstrate for the first time that perovskite thin films have the potential to be incorporated in products as an anticounterfeit solution in self-identification methods due to their ability to generate images on its surface with motifs at the microscale range. The images can be recorded using an optical microscope with a camera and can be recognized automatically using a convolutional neural network. The surface pattern of the thin films can be designed by modifying the perovskite composition, structure, and surface strain making falsification difficult to reproduce and mimic. To this end, perovskite thin films have been characterized using X-ray diffraction, UV-Vis spectroscopy and optical microscopy. We report a batch of 5 types of CsxFA1−xPbI3−xBrx perovskite thin films obtained by modifying the experimental conditions that exhibit recognized patterns with accuracy detection of 94.2% 2025-06-05T07:38:27Z 2025-06-05T07:38:27Z 2025-06-04 journal article RSC Adv., 2025, 15, 18768–18776 https://hdl.handle.net/10630/38873 10.1039/d5ra00787a eng open access Royal Society of Chemistry