LEADER 06664nam 2200457 450 001 9910830155403321 005 20230629230058.0 010 $a3-527-82847-8 010 $a3-527-82848-6 035 $a(CKB)4950000000281303 035 $a(MiAaPQ)EBC6747924 035 $a(Au-PeEL)EBL6747924 035 $a(OCoLC)1281962449 035 $a(EXLCZ)994950000000281303 100 $a20220707d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGraphdiyne $efundamentals and applications in renewable energy and electronics /$fYuliang Li 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d[2022] 210 4$dİ2022 215 $a1 online resource (395 pages) 311 $a3-527-34787-9 327 $aCover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Introduction -- 1.1 The Development of Carbon Materials -- 1.2 Models and Nomenclature -- 1.3 Brief Introduction of Graphdiyne -- References -- Chapter 2 Basic Structure and Band Gap Engineering: Theoretical Study of GDYs -- 2.1 Structures -- 2.1.1 Theoretical Prediction and Classification -- 2.1.2 Geometric Structures of GDYs -- 2.2 Electronic Structures -- 2.2.1 Dirac Cones in ??, ??, and 6,6,12?Graphynes -- 2.2.2 Semiconductor Properties of ??Graphynes -- 2.2.3 Electronic Structures Comparison of GDYs -- 2.2.4 Structure and Size?Based Electronic Properties -- 2.2.5 Strain?Dependent Electronic Properties -- 2.3 Mechanical Properties -- 2.3.1 Mechanical Properties of GDYs -- 2.3.2 Mechanical Properties of ??Graphyne -- 2.3.3 Mechanical Properties of ??Graphdiyne -- 2.3.4 Mechanical Properties of ??Graphynes Family -- 2.3.5 The Influence Factors on the Mechanical Properties of GDYs -- 2.4 Layers Structure of Bulk GDYs -- 2.4.1 Stacking Modes for Bilayer ??Graphyne -- 2.4.2 Stacking Modes for Bilayer ??Graphyne -- 2.4.3 Stacking Modes for Bilayer ??Graphdiyne -- 2.4.4 Identification on the Stacking Structures of GDY -- 2.5 Band Gap Engineering of GDYs -- 2.5.1 Influences of Nonmetal Doping -- 2.5.2 Influences of Chemical Modification and Functionalization -- 2.5.3 Tunable Band Gap Under Strain -- 2.5.4 Graphyne Nanoribbons Under Strain or Electric Field -- References -- Chapter 3 GDY Synthesis and Characterization -- 3.1 Synthesis -- 3.1.1 Basic Chemistry -- 3.1.2 Cu?Surface?Mediated Synthesis -- 3.1.3 Template Synthesis -- 3.1.4 Interfacial Synthesis -- 3.1.5 Vapor-Liquid-Solid (VLS) Growth -- 3.1.6 Chemical Vapor Deposition (CVD) Growth -- 3.1.7 Explosion Approach -- 3.2 Characterization -- 3.2.1 Raman Spectroscopy -- 3.2.2 X?ray Photoelectron Spectroscopy (XPS). 327 $a3.2.3 X?ray Absorption Spectroscopy (XAS) -- 3.2.4 Microscope Technology -- 3.2.5 X?ray Diffraction (XRD) Technique -- 3.2.6 Others -- 3.3 Summary -- References -- Chapter 4 Functionalization of GDYs -- 4.1 Heteroatom Doping -- 4.1.1 Nitrogen and Phosphor Doping -- 4.1.2 Halogen Doping -- 4.1.3 Sulfur, Boron, Hydrogen, and Other Nonmetal Heteroatoms -- 4.1.4 Dual Heteroatom Doping -- 4.2 Metal Decoration -- 4.2.1 Metal Atomic Decoration -- 4.2.2 Metallic Compounds -- 4.3 Absorption of Guest Molecules -- References -- Chapter 5 Graphdiyne?Based Materials in Catalytic Applications -- 5.1 Graphdiyne?Based Zero?Valent Metal Atomic Catalysts -- 5.1.1 Synthetic Strategy for GDY?Based ACs -- 5.1.2 Adsorption Geometry and Electronic Structures of GDY?Based ACs -- 5.1.3 Morphology and Valence States of GDY?Based ACs -- 5.1.4 Application of GDY?Based ACs -- 5.1.4.1 Applied for Water Splitting -- 5.1.4.2 Applied for Ammonia Synthesis at Ambient Conditions -- 5.1.4.3 Applied for Oxygen Reduction Reaction -- 5.1.4.4 Applied for Organic Reactions -- 5.2 GDY?Based Heterojunction Catalysts -- 5.2.1 Hydrogen Evolution Reaction on GDY?Based Heteros -- 5.2.2 Oxygen Evolution Reaction on GDY?Based Heterojunction -- 5.2.3 Photo?/Photoelectrocatalytic Oxygen Evolution Reaction -- 5.2.4 Applied for Overall Water Splitting -- 5.2.5 Applied for Other Catalysis -- 5.3 Graphdiyne?Based Metal?Free Catalysts -- 5.3.1 Applied for Water Splitting -- 5.3.2 Applied for Oxygen Reduction Reactions -- 5.3.3 Applied for Photocatalysis -- References -- Chapter 6 Graphdiyne?Based Materials in Rechargeable Batteries Applications -- 6.1 Introduction -- 6.2 Lithium?Ion Battery Anodes -- 6.3 Graphdiyne Derivatives for LIB Anodes -- 6.4 Sodium Ion Battery Anodes -- 6.5 Electrochemical Interface -- 6.5.1 Function of Interface -- 6.5.2 Protection for LIBs Anodes. 327 $a6.5.3 Protection for LIB Cathodes -- 6.6 Lithium-Sulfur Battery -- 6.7 Lithium Metal Anodes -- 6.8 Supercapacitor Electrodes -- 6.9 Fuel Cells -- References -- Chapter 7 Graphdiyne?Based Materials in Solar Cells Applications -- 7.1 Perovskite Solar Cells -- 7.1.1 Graphdiyne?Based Materials in Interfacial Layers -- 7.1.2 Graphdiyne?Based Materials in Active Layers -- 7.2 Organic Solar Cells -- 7.3 Others -- 7.3.1 Quantum Dots Solar Cells -- 7.3.2 Dye?Sensitized Solar Cells -- 7.4 Future Perspectives -- References -- Chapter 8 Graphdiyne: Electronics, Thermoelectrics, and Magnetism Applications -- 8.1 Electronic Devices -- 8.2 Optic Devices -- 8.3 Thermoelectric Materials -- 8.4 Magnetism -- References -- Chapter 9 Graphdiyne?Based Materials in Sensors and Separation Applications -- 9.1 Sensors -- 9.1.1 Biomolecules Sensor -- 9.1.1.1 DNA Detection -- 9.1.1.2 RNA and Amino Acids Detection -- 9.1.2 Small?Molecule Detection Sensor -- 9.1.2.1 Gas Sensor -- 9.1.2.2 Humidity Detection -- 9.1.2.3 Hydrogen Peroxide Detection -- 9.1.2.4 Glucose Detection -- 9.1.3 Other Sensors -- 9.2 Separation -- 9.2.1 Gas Separation -- 9.2.1.1 Hydrogen Separation -- 9.2.1.2 Oxygen Separation -- 9.2.1.3 Carbon Dioxide Separation -- 9.2.1.4 Helium Separation -- 9.2.2 Oil/Water Separation -- 9.3 Conclusion and Perspective -- References -- Chapter 10 Perspectives -- 10.1 Chemical Synthesis Methodology and Aggregate Structures of Graphdiyne -- 10.2 Controllable Preparation of Highly Ordered Graphdiyne -- 10.3 Fundamental Physical Properties and Applications of Graphdiyne -- Index -- EULA. 606 $aNanostructured materials 606 $aNanostructured materials$xAnalysis 615 0$aNanostructured materials. 615 0$aNanostructured materials$xAnalysis. 676 $a620.115 700 $aLi$b Yuliang$01698200 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830155403321 996 $aGraphdiyne$94079496 997 $aUNINA LEADER 04956nam 2200757Ia 450 001 9911019103003321 005 20200520144314.0 010 $a9786612030765 010 $a9781282030763 010 $a1282030760 010 $a9780470411353 010 $a047041135X 010 $a9780470411346 010 $a0470411341 024 7 $a10.1002/9780470411353 035 $a(CKB)1000000000719425 035 $a(EBL)427544 035 $a(SSID)ssj0000215783 035 $a(PQKBManifestationID)11202424 035 $a(PQKBTitleCode)TC0000215783 035 $a(PQKBWorkID)10204536 035 $a(PQKB)10784178 035 $a(MiAaPQ)EBC427544 035 $a(CaBNVSL)mat08039986 035 $a(IDAMS)0b00006485f0e0eb 035 $a(IEEE)8039986 035 $a(CaSebORM)9780470293324 035 $a(OCoLC)352837438 035 $a(PPN)26236459X 035 $a(Perlego)2765528 035 $a(EXLCZ)991000000000719425 100 $a20090507d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aOptimization techniques for solving complex problems /$fedited by Enrique Alba ... [et. al.] 210 $aHoboken, N.J. $cWiley$dc2009 215 $a1 online resource (502 p.) 225 1 $aWiley series on parallel and distributed computing 300 $aDescription based upon print version of record. 311 08$a9780470293324 311 08$a0470293322 320 $aIncludes bibliographical references and index. 327 $aPart I: Methodologies for complex problem solving: Generating automatic projections by means of genetic programming -- Neural lazy local learning -- Optimization by using genetic algorithms with micropopulations -- Analyzing parallel cellular genetic algorithms -- Evaluating new advanced multiobjective metaheuristics -- Canonical metaheuristics for dynamic optimization problems -- Solving constrained optimization problems with hybrid evolutionary algorithms -- Optimization of time series using parallel, adaptive, and neural techniques -- Using reconfigurable computing to optimization of cryptographic algorithms -- Genetic algorithms, parallelism and reconfigurable hardware -- Divide and conquer: advanced techniques -- Tools for tree searches: branch-and-bound and A* algorithms -- Tools for tree searches: Dynamic programming -- Part II: Applications: Automatic search of behavior strategies in auctions -- Evolving rules for local time series prediction -- Metaheuristics in bioinformatics: DNA sequencing and reconstruction -- Optimal location of antennae in telecommunication networks -- Optimization of image processing algorithms using FPGAs -- Application of cellular automata algorithms to the parallel simulation of laser dynamics -- Dense stereo disparity from an artificial life standpoint -- Exact, metaheuristic, and hybrid approaches to multidimensional knapsack problems -- Greedy seeding and problem-specific operators for GAs solution of strip packing problems -- Solving the KCT problem: large scale neighborhood search and solution merging -- Experimental study of GA-based schedulers in dynamic distributed computing environments -- Remote optimization service (ROS) -- Remote services for advanced problem optimization. 330 $a"Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One: Covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two: Delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms. Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings."--Publisher's description. 410 0$aWiley series on parallel and distributed computing. 606 $aComputer science$xMathematics 606 $aMathematical optimization 606 $aProblem solving 615 0$aComputer science$xMathematics. 615 0$aMathematical optimization. 615 0$aProblem solving. 676 $a004.01/51 676 $a511.352 676 $a519.6 686 $aST 200$2rvk 701 $aAlba$b Enrique$0853126 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019103003321 996 $aOptimization techniques for solving complex problems$94078859 997 $aUNINA