Yong Zhang – författare

Chalcogenide: From 3D to 2D and Beyond reviews graphene-like 2D chalcogenide systems that include topological insulators, interesting thermoelectric structures, and structures that exhibit a host of spin phenomena that are unique to 2D and lower-dimensional geometries. The book describes state-of-the-art materials in growth and fabrication, magnetic, electronic and optical characterization, as well as the experimental and theoretical aspects of this family of materials. Bulk chalcogenides, chalcogenide films, their heterostructures and low-dimensional chalcogenide-based quantum structures are discussed. Particular attention is paid to findings that are relevant to the continued search for new physical phenomena and new functionalities.

Finally, the book covers the enormous opportunities that have emerged as it has become possible to achieve lower-dimensional chalcogenide structures by epitaxial techniques.

Nano-scale materials have unique electronic, optical, and chemical properties that make them attractive for a new generation of devices. In the second edition of Modeling, Characterization, and Production of Nanomaterials: Electronics, Photonics, and Energy Applications, leading experts review the latest advances in research in the understanding, prediction, and methods of production of current and emerging nanomaterials for key applications.

The chapters in the first half of the book cover applications of different modeling techniques, such as Green's function-based multiscale modeling and density functional theory, to simulate nanomaterials and their structures, properties, and devices. The chapters in the second half describe the characterization of nanomaterials using advanced material characterization techniques, such as high-resolution electron microscopy, near-field scanning microwave microscopy, confocal micro-Raman spectroscopy, thermal analysis of nanoparticles, and applications of nanomaterials in areas such as electronics, solar energy, catalysis, and sensing.

The second edition includes emerging relevant nanomaterials, applications, and updated modeling and characterization techniques and new understanding of nanomaterials.

High-Entropy Alloys: Design, Manufacturing, and Emerging Applications presents cutting-edge advances in the field of these materials, covering their mechanics, methods of manufacturing, and applications, all while emphasizing the link between their structure/microstructure and functional properties.The book starts with a section on the fundamentals of high-entropy alloys (HEAs), with chapters discussing their thermodynamics, subgroups (transition metal; refractory; ceramics; metallic glasses and more), physical metallurgy, and microstructural characterization. The next section features chapters which look at manufacturing processes of HEAs, such as liquid metallurgy synthesis, in-situ synthesis, additive manufacturing, machine learning, friction stir welding, and fabrication of coatings for HEAs. The final section of the book covers applications of these materials, including their use as irradiation-resistant structural materials, catalyst materials, electrode materials, HEAs for solid hydrogen storage, and more. The book is a key resource for academic researchers, grad students, and industry professionals working with HEAs across a range of disciplines and applications including aerospace, functional materials, catalyst materials, gas storage, sensing, super-conducting materials, biomedical, civil engineering, energy storage, and energy materials.

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning.

Features:

This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning.

Features:

This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Research in the field of high-entropy materials is advancing rapidly. High-Entropy Materials: Advances and Applications focuses on materials discovered using the high-entropy alloys (HEA) strategy. It discusses various types of high-entropy materials, such as face-centered cubic (FCC) and body-centered cubic (BCC) HEAs, films and coatings, fibers, and powders and hard-cemented carbides, along with current research status and applications:

• Describes, compositions and processing of high-entropy materials.

• Summarizes industrially valuable alloys found in high-entropy materials that hold promise for promotion and application.

• Explains how high-entropy materials can be used in many fields and can outperform traditional materials.

This book is aimed at researchers, advanced students, and academics in materials science and engineering and related disciplines.

Research in the field of high-entropy materials is advancing rapidly. High-Entropy Materials: Advances and Applications focuses on materials discovered using the high-entropy alloys (HEA) strategy. It discusses various types of high-entropy materials, such as face-centered cubic (FCC) and body-centered cubic (BCC) HEAs, films and coatings, fibers, and powders and hard-cemented carbides, along with current research status and applications:

• Describes, compositions and processing of high-entropy materials.

• Summarizes industrially valuable alloys found in high-entropy materials that hold promise for promotion and application.

• Explains how high-entropy materials can be used in many fields and can outperform traditional materials.

This book is aimed at researchers, advanced students, and academics in materials science and engineering and related disciplines.

Aiming to outline the vision of realizing automated and intelligent communication networks in the era of intelligence, this book describes the development history, application scenarios, theories, architectures, and key technologies of Huawei''s Autonomous Driving Network (ADN) solution.

In the book, the authors explain the design of the top-level architecture, hierarchical architecture (ANE, NetGraph, and AI Native NE), and key feature architecture (distributed AI and endogenous security) that underpin Huawei''s ADN solution. The book delves into various key technologies, including trustworthy AI, distributed AI, digital twin, network simulation, digitization of knowledge and expertise, human-machine symbiosis, NE endogenous intelligence, and endogenous security. It also provides an overview of the standards and level evaluation methods defined by industry and standards organizations, and uses Huawei''s ADN solution as an example to illustrate how to implement AN.

This book is an essential reference for professionals and researchers who want to gain a deeper understanding of automated and intelligent communication networks and their applications.

Aiming to outline the vision of realizing automated and intelligent communication networks in the era of intelligence, this book describes the development history, application scenarios, theories, architectures, and key technologies of Huawei''s Autonomous Driving Network (ADN) solution.

In the book, the authors explain the design of the top-level architecture, hierarchical architecture (ANE, NetGraph, and AI Native NE), and key feature architecture (distributed AI and endogenous security) that underpin Huawei''s ADN solution. The book delves into various key technologies, including trustworthy AI, distributed AI, digital twin, network simulation, digitization of knowledge and expertise, human-machine symbiosis, NE endogenous intelligence, and endogenous security. It also provides an overview of the standards and level evaluation methods defined by industry and standards organizations, and uses Huawei''s ADN solution as an example to illustrate how to implement AN.

This book is an essential reference for professionals and researchers who want to gain a deeper understanding of automated and intelligent communication networks and their applications.

The 34 full papers included in this volume were carefully reviewed and selected from 109 submissions. They deal with parallel and distributed computing of networking and architectures, software systems and technologies, algorithms and applications, and security and privacy.

This book constitutes the proceedings of the 22nd International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2021, which took place in Guangzhou, China, during December 17-19, 2021.

The 24 full papers and 34 short papers included in this volume were carefully reviewed and selected from 97 submissions. The papers are categorized into the following topical sub-headings: networking and architectures, software systems and technologies, algorithms and applications, and security and privacy.