Wenfeng Hu – författare

Understanding Geologic Carbon Sequestration and Gas Hydrate from Molecular Simulation systematically introduces CO2 geological sequestration and gas hydrate at the molecular-scale, with research including interfacial properties of multiphase, multicomponent systems, hydrogen bonding properties, adsorption characteristics of CO2CH4 in the pore, kinetic properties of decomposition/nucleation/growth of gas hydrate, the influence of additives on gas hydrate growth dynamics, and hydrate prevention and control technology. This book focuses on research-based achievements and provides a comprehensive look at global progress in the field.Because there are limited resources available on carbon geologic sequestration technology and gas hydrate technology at the molecular level, this book fills a gap in scientific literature and elucidates on further research.

Distills learnings for fundamental and advanced knowledge of molecular simulation in carbon dioxide and gas hydrate storageSynthesizes knowledge about the development status of CGS technology and hydrate technology in the molecular field - tackling these technologies from a microscopic perspectiveAnalyzes scientific problems related to CGS technology and hydrate technology based on molecular simulation methodsExplores challenges relative to carbon dioxide and hydrate storageProvides hierarchical analysis combined with the authors' own research-based case studies for enhanced comprehension and application

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loopsAn informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.