Bücher von Peng Zhang

Les batteries lithium-soufre (Li-S) ont été considérées comme une technologie prometteuse de stockage d'énergie de la prochaine génération en raison de leur densité énergétique théorique très élevée par rapport à celle des batteries lithium-ion traditionnelles. Cependant, les applications pratiques des batteries Li-S sont toujours bloquées par des problèmes notoires tels que l'effet de navette et la croissance incontrôlable des dendrites de lithium. Ce livre présente une introduction fondamentale aux nouveaux matériaux de carbone utilisés dans les batteries Li-S flexibles.

Lithium-Schwefel-Batterien (Li-S) gelten aufgrund ihrer im Vergleich zu herkömmlichen Lithium-Ionen-Batterien sehr hohen theoretischen Energiedichte als vielversprechende Energiespeichertechnologie der nächsten Generation. Die praktischen Anwendungen von Li-S-Batterien werden jedoch immer noch durch notorische Probleme wie den Shuttle-Effekt und das unkontrollierbare Wachstum von Lithium-Dendriten blockiert. In diesem Buch wird eine grundlegende Einführung in neue Kohlenstoffmaterialien gegeben, die in flexiblen Li-S-Batterien verwendet werden.

Las baterías de litio-azufre (Li-S) se han considerado una prometedora tecnología de almacenamiento de energía de nueva generación por su densidad energética teórica ultraelevada en comparación con la de las baterías tradicionales de iones de litio. Sin embargo, las aplicaciones prácticas de las baterías de Li-S siguen bloqueadas por problemas notorios como el efecto lanzadera y el crecimiento incontrolable de las dendritas de litio. En este libro se presenta una introducción fundamental a los nuevos materiales de carbono utilizados en las baterías flexibles de Li-S.

As baterias de lítio-enxofre (Li-S) têm sido consideradas como uma tecnologia promissora de armazenamento de energia da próxima geração devido à sua densidade de energia teórica ultraelevada em comparação com as baterias tradicionais de iões de lítio. No entanto, as aplicações práticas das baterias de Li-S continuam a ser bloqueadas por problemas notórios, como o efeito de vaivém e o crescimento incontrolável de dendritos de lítio. Neste livro, é apresentada uma introdução fundamental de novos materiais de carbono utilizados em baterias flexíveis de Li-S.

Le batterie al litio-zolfo (Li-S) sono state considerate una promettente tecnologia di accumulo di energia di prossima generazione per la loro altissima densità energetica teorica rispetto a quella delle tradizionali batterie agli ioni di litio. Tuttavia, le applicazioni pratiche delle batterie Li-S sono ancora bloccate da problemi noti come l'effetto shuttle e la crescita incontrollabile di dendriti di litio. In questo libro viene presentata un'introduzione fondamentale dei nuovi materiali al carbonio utilizzati nelle batterie Li-S flessibili.

Litij-sernye (Li-S) akkumulqtory rassmatriwaütsq kak perspektiwnaq tehnologiq hraneniq änergii nowogo pokoleniq blagodarq swerhwysokoj teoreticheskoj plotnosti änergii po srawneniü s tradicionnymi litij-ionnymi akkumulqtorami. Odnako prakticheskoe primenenie Li-S akkumulqtorow do sih por blokiruetsq takimi izwestnymi problemami, kak chelnochnyj äffekt i nekontroliruemyj rost litiewyh dendritow. V ätoj knige daetsq fundamental'noe predstawlenie o nowyh uglerodnyh materialah, ispol'zuemyh w gibkih Li-S akkumulqtorah.

The introduction of Quantum Theory (QT) provides a unified mathematical framework for Information Retrieval (IR). Compared with the classical IR framework, the quantum-inspired IR framework is based on user-centered modeling methods to model non-classical cognitive phenomena in human relevance judgment in the IR process. With the increase of data and computing resources, neural IR methods have been applied to the text matching and understanding task of IR. Neural networks have a strong learning ability of effective representation and generalization of matching patterns from raw data. This monograph provides a systematic introduction to quantum-inspired neural IR, including quantum-inspired neural language representation, matching and understanding. The cross-field research on QT, neural network and IR is not only helpful to non-classical phenomena modeling in IR but also to break the theoretical bottleneck of neural networks and design more transparent neural IR models. The authors first introduce the language representation method based on QT. Secondly, they introduce the quantum-inspired text matching and decision making model under neural network that shows its theoretical advantages in document ranking, relevance matching, multimodal IR, and can be integrated with neural network to jointly promote the development of IR. Finally, the latest progress of quantum language understanding is introduced and further topics on QT and language modeling provide readers with more materials for thinking.

Apart from the basic principles with an emphasis on inductive power transfer and mathematical analysis, the book discusses the emerging implementation for underwater wireless power transfer such as energy encryption, power and data transfer through common links, and secured data- and cyber-security.

As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc.

This book begins by providing basic information on single-molecule magnets (SMMs), covering the magnetism of lanthanide, the characterization and relaxation dynamics of SMMs and advanced means of studying lanthanide SMMs.