Investigation of the Nonlinear Optical Frequency Conversion in Ultrathin Franckeite Heterostructures

التفاصيل البيبلوغرافية
العنوان: Investigation of the Nonlinear Optical Frequency Conversion in Ultrathin Franckeite Heterostructures
المؤلفون: Cadore, Alisson R., Ore, Alexandre S. M. V., Steinberg, David, Zapata, Juan D., de Souza, Eunézio A. T., Bahamon, Dario A., de Matos, Christiano J. S.
سنة النشر: 2024
المجموعة: Condensed Matter
Physics (Other)
مصطلحات موضوعية: Physics - Optics, Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
الوصف: Layered franckeite is a natural superlattice composed of two alternating layers of different compositions, SnS$_2$- and PbS-like. This creates incommensurability between the two species along the planes of the layers, resulting in spontaneous symmetry-break periodic ripples in the \textit{a}-axis orientation. Nevertheless, natural franckeite heterostructure has shown potential for optoelectronic applications mostly because it is a semiconductor with 0.7 eV bandgap, air-stable, and can be easily exfoliated down to ultrathin thicknesses. Here, we demonstrate that few-layer franckeite shows a highly anisotropic nonlinear optical response due to its lattice structure, which allow for the identification of the ripple axis. Moreover, we find that the highly anisotropic third-harmonic emission strongly varies with material thickness. These features are further corroborated by a theoretical nonlinear susceptibility model and the nonlinear transfer matrix method. Overall, our findings help to understand this material and propose a characterization method that could be used in other layered materials and heterostructures to assign their characteristic axes.
Comment: 27 pages, 5 figures. The following article has been accepted by the Journal of Applied Physics. After it is published, it will be found by DOI: 10.1063/5.0186615
نوع الوثيقة: Working Paper
DOI: 10.1063/5.0186615
URL الوصول: http://arxiv.org/abs/2402.03884
رقم الانضمام: edsarx.2402.03884
قاعدة البيانات: arXiv