Qian Feng

This book aims to provide a comprehensive understanding of tensor computation and its applications in seismic data analysis, exclusively catering to seasoned researchers, graduate students, and industrial engineers alike. Tensor emerges as a natural representation of multi-dimensional modern seismic data, and tensor computation can help prevent possible harm to the multi-dimensional geological structure of the subsurface that occurred in classical seismic data analysis. It delivers a wealth of theoretical, computational, technical, and experimental details, presenting an engineer's perspective on tensor computation and an extensive investigation of tensor-based seismic data analysis techniques. Embark on a transformative exploration of seismic data processing—unlock the potential of tensor computation and reshape your approach to high-dimensional geological structures. The discussion begins with foundational chapters, providing a solid background in both seismic data processing and tensor computation. The heart of the book lies in its seven chapters on tensor-based seismic data analysis methods. From structured low-tubal-rank tensor completion to cutting-edge techniques like tensor deep learning and tensor convolutional neural networks, each method is meticulously detailed. The superiority of tensor-based data analysis methods over traditional matrix-based data analysis approaches is substantiated through synthetic and real field examples, showcasing their prowess in handling high-dimensional modern seismic data. Notable chapters delve into seismic noise suppression, seismic data interpolation, and seismic data super-resolution using advanced tensor models. The final chapter provides a cohesive summary of the conclusion and future research directions, ensuring readers facilitate a thorough understanding of tensor computation applications in seismic data processing. The appendix includes a hatful of information on existing tensor computation software, enhancing the book's practical utility.

This book explores the scientific basis of the photovoltaic effect, solar cell operation, various types of solar cells, and the main process used in their manufacture. It addresses a range of topics, including the production of solar silicon; silicon-based solar cells and modules; the choice of semiconductor materials and their production-relevant costs and performance; device structures, processing, and manufacturing options for the three major thin-film PV technologies; high-performance approaches for multi-junction, concentrator, and space applications; and new types of organic polymer and dye-sensitized solar cells. The book also presents a concept for overcoming the efficiency limit of today’s solar cells. Accessible for beginners, while also providing detailed information on the physics and technology for experts, the book is a valuable resource for researchers, engineers, and graduate students in fields such as physics, materials, energy, electrical and electronic engineering and microelectronics.

This book explores the scientific basis of the photovoltaic effect, solar cell operation, various types of solar cells, and the main process used in their manufacture. It addresses a range of topics, including the production of solar silicon; silicon-based solar cells and modules; the choice of semiconductor materials and their production-relevant costs and performance; device structures, processing, and manufacturing options for the three major thin-film PV technologies; high-performance approaches for multi-junction, concentrator, and space applications; and new types of organic polymer and dye-sensitized solar cells. The book also presents a concept for overcoming the efficiency limit of today’s solar cells. Accessible for beginners, while also providing detailed information on the physics and technology for experts, the book is a valuable resource for researchers, engineers, and graduate students in fields such as physics, materials, energy, electrical and electronic engineering and microelectronics.