Le Zhang – författare

Unique reference on the fundamentals, applications, and latest research in electroluminescence of organic molecules

Organic Electroluminescence provides a comprehensive overview of organic electroluminescent materials from their structure-property relationships to the outlook of improved device performance. Divided into three parts, the first section of the book covers fundamental aspects of OLEDs such as history, structures, properties, and operating and aging mechanisms. The second section provides quantum chemical and experimental insights into correlations between device performance, material characteristics, molecular physical parameters, and molecular structure. The last section is devoted to improving device performance in real world applications using molecular and device simulations.

Featuring contributions from experts from around the world, Organic Electroluminescence discusses sample topics including:

Organic Electroluminescence delivers advanced information for professionals seeking a thorough reference on the subject and for students learning about OLEDs.

Unique reference on the fundamentals, applications, and latest research in electroluminescence of organic molecules

Organic Electroluminescence provides a comprehensive overview of organic electroluminescent materials from their structure-property relationships to the outlook of improved device performance. Divided into three parts, the first section of the book covers fundamental aspects of OLEDs such as history, structures, properties, and operating and aging mechanisms. The second section provides quantum chemical and experimental insights into correlations between device performance, material characteristics, molecular physical parameters, and molecular structure. The last section is devoted to improving device performance in real world applications using molecular and device simulations.

Featuring contributions from experts from around the world, Organic Electroluminescence discusses sample topics including:

Organic Electroluminescence delivers advanced information for professionals seeking a thorough reference on the subject and for students learning about OLEDs.

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book presents an in-depth overview of cutting-edge generative models such as GANs, VAEs, and diffusion models, examining how they enable groundbreaking applications in medical image synthesis, reconstruction, and enhancement. Covering diverse imaging modalities like MRI, CT, and ultrasound, it illustrates how these models facilitate improvements in image quality, support data augmentation for scarce datasets, and create new avenues for predictive diagnostics.

Beyond technical details, the book addresses critical challenges in deploying generative models for healthcare, including ethical concerns, interpretability, and clinical validation. With a strong focus on real-world applications, it includes case studies and implementation guidelines, guiding readers in translating theory into practice. By addressing model robustness, reproducibility, and clinical utility, this book is an essential resource for researchers, clinicians, and data scientists seeking to leverage generative models to enhance biomedical imaging and deliver impactful healthcare solutions. Combining technical rigor with practical insights, it offers a roadmap for integrating advanced generative approaches in the field of medical image computing.

This book, belonging to energy discipline, summarized the latest research progress in the development of microbial lipids and biodiesel technologies. This book introduced the concept and development of microbial lipids and biodiesel technologies, the microbial lipid technology based on oleaginous yeasts, filamentous fungi, microalgae, bacteria, and thraustochytrids. Meanwhile, this book introduced the inhibition and removal of lignocellulosic hydrolysis inhibitors on microbial fermentation for lipid production, the isolation and screening of high-yield strains of oleaginous microorganisms, the use of metabolic engineering to transform oleaginous microorganisms, the process engineering technologies for optimization and process improvement, the harvesting of microbial cells and the extraction of microbial lipids, the production of crude biodiesel by esterification of microbial lipids, the biodiesel purification technology as well as the challenges and prospects of the industrialization of biodiesel technology based on microbial lipids. Reading this book will help readers comprehensively understand the latest developments in the field of "microbial lipids and biodiesel technologies". This book takes into account the relevant practical engineering technologies and the latest basic scientific research, and can be used as a reference for the researchers, engineers, investors, policy-makers, and students engaged in clean energy, microbial lipids and biodiesel industries.

This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based technology used, and analyzes problems arising in the theory and practice of recommender systems, helping readers gain a deeper understanding of the cutting-edge technology used in these systems. Lastly, it shares practical experience with Microsoft ''s open source project Microsoft Recommenders. Readers can learn the design principles of recommendation algorithms using the source code provided in this book, allowing them to quickly build accurate and efficient recommender systems from scratch.