Computational Analysis of Perovskite Solar Cells : Predicting the Future Energy (Springer Tracts in Electrical and Electronics Engineering)

Kumar, Manish (EDT)

Springer Verlag, Singapore（2026/05発売）

• 製本 Hardcover:ハードカバー版／ページ数 304 p.
• 言語 ENG
• 商品コード 9789819565207

Full Description

This book provides the detail analysis of various computations techniques such as Density Functional Theory (DFT), Solar Cell Capacitance Simulator (SCAPS), and COMSOL Multiphysics; to investigate the various properties and physical parameters of perovskite solar cells such as electrical and optoelectronic properties, band gap matching strategy, doping concentrations, defects density, grading effect, multivalent defects, scripting, multi-terminal/multi-junction tandem connection. The computational analysis technique is a low cost method to investigate doping concentration, device structure, operating conditions and material compositions of perovskite solar cells (PSCs). One of the prime areas of focus in this book is the computational study of the electronic structure and optoelectronic properties of perovskite materials. This scope of this book attracts researchers, scientists and industry practitioners who are interested in new materials and computational methods to increase the efficiency of photovoltaics and solar cell devices.

Contents

Introduction of perovskite solar cells on computational analysis.- Generation of defects in perovskite absorber.- Structural analysis and modification of perovskite absorber through the density functional theory studies (DFT).- Assessment of physical parameters of perovskite solar cells through computational studies.- Multi-physics studies of perovskite solar cells.- Theoretical study of all inorganic and organic-Inorganic mixed halide perovskite solar cells.- Computational studies of tandem solar cells.- Computational investigations on stability of perovskite solar cell.- Computational investigations on the impact of organic molecule layer in between the heterostructures of the perovskite solar cells.- Interfacial engineering in perovskite solar cells by the simulation approaches.- Bandgap tuning strategy in perovskite solar cells using the solar cell simulations.- Role of machine learning in the perovskite solar cell investigations.- Role of defect density and doping concentration in perovskite solar cell.- Summary and future outlook.