Defects in solids [[electronic resource] /] / Richard J.D. Tilley

• Record Nr.: UNINA9910144103303321
• Autore: Tilley R. J. D
• Pubbl/distr/stampa: Hoboken, N.J., : Wiley, c2008
• ISBN: 1-283-20329-4; 9786613203298; 0-470-38075-6; 0-470-38073-X
• Descrizione fisica: 1 online resource (549 p.)
• Collana: Special Topics in Inorganic Chemistry ; ; v.4
• Disciplina: 620.1/1; 620.11
• Soggetti: Solids - Defects; Solids - Electric properties; Solids - Magnetic properties; Solids - Optical properties
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and indexes.
• Nota di contenuto: DEFECTS IN SOLIDS; CONTENTS; Preface; 1. Point Defects; 1.1 Introduction; 1.2 Point and Electronic Defects in Crystalline Solids; 1.3 Electronic Properties: Doped Silicon and Germanium as Examples; 1.4 Optical Properties: F Centers and Ruby as Examples; 1.5 Bulk Properties; 1.5.1 Unit Cell Dimensions; 1.5.2 Density; 1.5.3 Volume; 1.5.4 Young's Modulus (the Elastic Modulus); 1.6 Thermoelectric Properties: The Seebeck Coefficient as an Example; 1.7 Point Defect Notation; 1.8 Charges on Defects; 1.8.1 Electrons and Electron Holes; 1.8.2 Atomic and Ionic Defects; 1.9 Balanced Populations of Point Defects: Schottky and Frenkel Defects 1.9.1 Schottky Defects; 1.9.2 Frenkel Defects; 1.10 Antisite Defects; 1.11 Defect Formation and Reaction Equations; 1.11.1 Addition and Subtraction of Atoms; 1.11.2 Equation Formalism; 1.11.3 Formation of Antisite Defects; 1.11.4 Nickel Oxide; 1.11.5 Cadmium Oxide; 1.11.6 Calcia-stabilized Zirconia; 1.11.7 Ternary Oxides; 1.12 Combinations of Point Defects in Pure Materials; 1.13 Structural Consequences of Point Defect Populations; 1.14 Answers to Introductory Questions; ; Problems and Exercises; References; Further Reading; 2. Intrinsic Point Defects in Stoichiometric Compounds 2.1 Equilibrium Population of Vacancies in a Monatomic Crystal; 2.2 Equilibrium Population of Self-Interstitials in a Monatomic Crystal; 2.3 Equilibrium Population of Schottky Defects in a Crystal; 2.4 Lithium Iodide Battery; 2.5 Equilibrium Population of Frenkel Defects in a Crystal; 2.6 Photographic Film; 2.7 Photochromic Glasses; 2.8 Equilibrium Population of Antisite Defects in a Crystal; 2.9 Intrinsic Defects: Trends and Further Considerations; 2.10 Computation of Defect Energies; 2.10.1 Defect Calculations; 2.10.2 Point Defect Interactions 2.10.3 Atomistic Simulation; 2.10.4 The Shell Model; 2.10.5 Defect Formation Energy; 2.10.6 Quantum Mechanical Calculations; 2.11 Answers to Introductory Questions; Problems and Exercises; References; Further Reading; 3. Extended Defects; 3.1 Dislocations; 3.2 Edge Dislocations; 3.3 Screw Dislocations; 3.4 Mixed Dislocations; 3.5 Unit and Partial Dislocations; 3.6 Multiplication of Dislocations; 3.7 Interaction of Dislocations and Point Defects; 3.7.1 Dislocation Loops; 3.7.2 Dislocation Climb; 3.7.3 Decoration of Dislocations; 3.8 Dislocations in Nonmetallic Crystals 3.9 Internal Boundaries; 3.10 Low-Angle Grain Boundaries; 3.11 Twin Boundaries; 3.12 Antiphase Boundaries; 3.13 Domains and Ferroic Materials; 3.13.1 Magnetic Structures; 3.13.2 Ferroelectric Structures; 3.13.3 Ferroic Structures; 3.14 External Surfaces and Grain Boundaries; 3.14.1 Optical Characteristics of Polycrystalline Solids; 3.14.2 Electronic Properties of Interfaces; 3.14.3 Varistors; 3.14.4 Positive Temperature Coefficient Thermistors; 3.15 Volume Defects and Precipitates; 3.16 Answers to Introductory Questions; Problems and Exercises; Further Reading
• Sommario/riassunto: Provides a thorough understanding of the chemistry and physics of defects, enabling the reader to manipulate them in the engineering of materials.Reinforces theoretical concepts by placing emphasis on real world processes and applications. Includes two kinds of end-of-chapter problems: multiple choice (to test knowledge of terms and principles) and more extensive exercises and calculations (to build skills and understanding).Supplementary material on crystallography and band structure are included in separate appendices.

Advances in Data-Driven Computing and Intelligent Systems : Selected Papers from ADCIS 2023, Volume 1 / / edited by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish C. Bansal

• Record Nr.: UNINA9910841865203321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
• ISBN: 981-9995-24-8
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (553 pages)
• Collana: Lecture Notes in Networks and Systems, , 2367-3389 ; ; 891
• Disciplina: 006.3
• Soggetti: Telecommunication; Electronic circuits; Cloud computing; Artificial intelligence; Signal processing; Communications Engineering, Networks; Electronic Circuits and Systems; Cloud Computing; Artificial Intelligence; Signal, Speech and Image Processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Influences of specimen and fiber sizes on the direct tensile resistance of ultra-high-performance fiber-reinforced concretes -- Conceptual Model for Data Collection and Processing in a Smart Medical Ward -- Parts-of-Speech Tagger in Assamese using LSTM and Bi-LSTM -- Detection of Explicit Lyrics in Hindi Music Using Different Machine Learning Algorithms -- Does the Resilience learning game foster workforce open innovation and sustainability attributes? Empirical evidence from Greek food industry -- Seizure Detection by Analyzing EEG Signals Using Deep Learning Networks -- Enhancing Intelligent Video Surveillance: Deep Learning Approaches for Human Anomalous Behavior Recognition -- GujFormer: A Vision Transformer Based Architecture for Gujarati Handwritten Character Recognition -- ; Prediction of Soil Properties for Agriculture using Ensemble Learning Techniques/- Classification of organic and recyclable waste using a Deep learning approach -- Machine Learning and its Application in Food Safety.-ISO/IEC 27001 Standard: Analytical and Comparative Overview -- Hybrid Deep Learning based Potato and Tomato Leaf Disease Classification -- Anti-Forensic Analysis for Image Splicing Detection through Advanced Filters -- Classification and prediction of vibration natural frequencies of a circular plate using Chladni patterns and deep learning techniques -- Multi-Sensor Data Fusion and Deep Machine Learning Models based Mental Stress Detection System -- Segmentation-based Transformer Network for Automated Skin Disease Detection.
• Sommario/riassunto: This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.