Snehangshu Mishra

Effective conversion of solar photons into electrical power through the development of smart and eco‐friendly materials is one of the most extensively researched methods for generating renewable energy. In this work, an inorganic lead‐free double perovskite Cs2SnI6 material is employed as an active layer for solar cell applications, together with GO (graphene oxide) as electron transport layer (ETL) and Cu2O as hole transport layer (HTL). In order to find the most efficient photovoltaic device, a detailed theoretical study using the SCAPS‐1D simulation program is conducted. The device performance is monitored and analyzed by considering various HTLs, doping density in active layer, light intensity, ETL thickness, operating temperature, parasitic resistances, and the role of defects on device performance. The optimized device displays a power conversion efficiency of 23.64% with excellent photovoltaic characteristics. This theoretical study reveals that Cs2SnI6 can be a promising choice for solar cell applications as a lead‐free double perovskite material.

Within a short period of time, perovskite solar cells (PSC) have attracted paramount research interests among the photovoltaic (PV) community. Usage of machine learning (ML) into PSC research is significantly accelerated their holistic understanding of device requisite properties. ML techniques are increasingly employed to discover stable perovskite materials, optimize device architecture and processing, and analyze PSC characterization data. This review provides an in‐depth exploration of ML applications in PSC advancement through an analysis of existing literature. The review commences with an introduction to the ML workflow, detailing each step, followed by concise overviews of perovskite materials and PSC operation. Later sections explore the diverse ways ML contributes to PSC development, which ranges from the optoelectronic property prediction of perovskites, discovery of novel perovskites, PSC device structure optimization, and comprehensive PSC analyses. The challenges imped...

Solar cells based on organic-inorganic lead halide perovskites are popular in the photovoltaic community due to their high efficiency, low cost, and solution processability. Understanding the fundamentals of metal halide perovskite and its interfaces is extremely important for achieving high-quality materials and developing efficient devices using these materials with the necessary properties. Various methodologies have been used to evaluate the excellent optoelectronic properties, efficiency, and stability of PSCs. In this article, we reviewed the case studies of characterization techniques to investigate structural, optical, and electrical properties of perovskite material via electron microscopic techniques (SEM and TEM), J-V measurements, AFM, XRD, and spectroscopy techniques (PL, UV-vis, XPS, Raman, FTIR, and EIS). PSCs also need to have long-term stability and large-scale applicability for successful commercialization. In this review, we studied perovskite in detail to underst...

Effective conversion of solar photons into electrical power through the development of smart and eco‐friendly materials is one of the most extensively researched methods for generating renewable energy. In this work, an inorganic lead‐free double perovskite Cs2SnI6 material is employed as an active layer for solar cell applications, together with GO (graphene oxide) as electron transport layer (ETL) and Cu2O as hole transport layer (HTL). In order to find the most efficient photovoltaic device, a detailed theoretical study using the SCAPS‐1D simulation program is conducted. The device performance is monitored and analyzed by considering various HTLs, doping density in active layer, light intensity, ETL thickness, operating temperature, parasitic resistances, and the role of defects on device performance. The optimized device displays a power conversion efficiency of 23.64% with excellent photovoltaic characteristics. This theoretical study reveals that Cs2SnI6 can be a promising cho...

Indoor light harvesting solar cells can effectively power the IoT devices. Solution-processable next generation solar cells fuelled by the recent growth in the IoT market present immense potential due to their lightweight and flexible nature.