Design Guidelines for Plasmon-Enhanced CsSn$_x$Ge$_{1-x}$I$_3$ Perovskite LEDs: A DFT-Informed FDTD Study
Shoumik Debnath, Sudipta Saha, Khondokar Zahin, Ying Yin Tsui, and Md. Zahurul Islam

TL;DR
This study combines DFT and FDTD simulations to optimize plasmonic-enhanced CsSn$_x$Ge$_{1-x}$I$_3$ perovskite LEDs, providing composition-specific optical data and design guidelines for improved light extraction and stability.
Contribution
It introduces a DFT-FDTD framework with composition-specific optical data to optimize plasmonic enhancement in CsSn$_x$Ge$_{1-x}$I$_3$ LEDs, a novel approach for these materials.
Findings
Achieved 12.1-fold Purcell enhancement for CsSn$_{0.25}$Ge$_{0.75}$I$_3$.
Reached 25% light extraction efficiency for CsSn$_{0.5}$Ge$_{0.5}$I$_3$.
Obtained 36% light extraction enhancement for CsSnI$_3$.
Abstract
CsSnGeI as lead-free perovskites are promising for next generation NIR emitting perovskite LEDs due to their tunable bandgaps and stability. However, they suffer from poor light extraction efficiency, and accurate composition-specific optical data for these materials remain scarce. This study presents a DFT-FDTD framework to optimize light extraction via compositional tuning and plasmonic enhancement. First, DFT calculations were performed to obtain composition-specific complex refractive index and extinction coefficient values for , and . Results show bandgap increased from 1.331 eV for CsSnI to 1.927 eV for CsGeI with increasing Ge content, while refractive index ranges from 2.2 to 2.6 across compositions. These optical constants were then used as inputs for FDTD simulations of a PeLED structure with optimized Au/SiO core-shell…
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