First-principles investigation and device simulation of TlPbI 3 -based perovskite solar cells with machine learning-driven efficiency prediction | Synapse
April 10, 2026Open Access
First-principles investigation and device simulation of TlPbI 3 -based perovskite solar cells with machine learning-driven efficiency prediction
Puntos clave
This research aims to explore and predict the efficiency of TlPbI3-based perovskite solar cells using first-principles simulations and machine learning techniques.
Conducted first-principles investigations of TlPbI3-based solar cells
Utilized device simulations for performance analysis
Applied machine learning algorithms to predict efficiency
Identified key factors influencing the efficiency of TlPbI3-based solar cells
Predicted a significant improvement in efficiency metrics based on simulations
Validated machine learning predictions with first-principles data
Resumen
The development of sustainable, cost-effective, and efficient photovoltaic absorbers is essential for advancing next-generation solar cell technologies.
Me gusta
Guardar
Compartir
Ver artículo completo
Cite This Study
Harun-Or-Rashid et al. (Thu,) studied this question.