LEADER 05865nam 2200733 450 001 9910138984303321 005 20230803220556.0 010 $a1-118-74270-2 010 $a1-118-74265-6 010 $a1-118-74272-9 035 $a(CKB)2550000001168717 035 $a(EBL)1574359 035 $a(OCoLC)865157300 035 $a(SSID)ssj0001061391 035 $a(PQKBManifestationID)11571459 035 $a(PQKBTitleCode)TC0001061391 035 $a(PQKBWorkID)11098821 035 $a(PQKB)10331209 035 $a(OCoLC)874968004 035 $a(MiAaPQ)EBC1574359 035 $a(DLC) 2013023777 035 $a(Au-PeEL)EBL1574359 035 $a(CaPaEBR)ebr10814708 035 $a(CaONFJC)MIL550003 035 $a(EXLCZ)992550000001168717 100 $a20131220d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aNanocomposites $ein situ synthesis of polymer-embedded nanostructures /$fedited by Luigi Nicolais, Gianfranco Carotenuto 205 $aFirst edition. 210 1$aHoboken, New Jersey :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (263 p.) 300 $aIncludes index. 311 $a0-470-10952-1 311 $a1-306-18752-4 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aNanocomposites: In Situ Synthesis of Polymer-Embedded Nanostructures; Contents; Preface; Contributors; 1 Metal-Polymer Nanocomposites by Supercritical Fluid Processing; 1.1 Introduction to Polymers, Nanoparticles, and Supercritical Fluids; 1.2 Properties; 1.3 Catalysis; 1.4 Optics and Photonics; 1.4.1 Quantum Dots; 1.4.2 Plasmons; 1.4.3 Nonlinear Optical Limitation; 1.4.4 Surface-Enhanced Raman Spectroscopy; 1.4.5 Metal-Enhanced Fluorescence; 1.5 General Synthetic Strategies; 1.5.1 Top Down; 1.5.2 Bottom Up; 1.5.3 Solution Synthesis; 1.6 Stabilization; 1.6.1 Electrostatic Stabilization 327 $a1.6.2 Steric Stabilization1.7 Polymers; 1.7.1 Definition; 1.7.2 Crystallinity in Polymers; 1.7.3 The Glass Transition and Melting Point; 1.8 Metal-Polymer Nanocomposites; 1.8.1 Ex Situ; 1.8.2 In Situ; 1.9 Thermal Decomposition of Metal Precursors Added to Polymers; 1.10 Ion Implantation; 1.11 Chemical Vapor Deposition (CVD) and Physical Vapor Deposition (PVD); 1.12 scCO2 Impregnation into Polymers; 1.13 Supercritical Fluids; 1.13.1 The Discovery and Development of SCFs; 1.13.2 Supercritical CO2; 1.14 Polymer Processing with scCO 2; 1.15 Nanoparticles by scCO2 Impregnation of Host Materials 327 $a1.16 Synthetic Method for Impregnating Polymer Films with Metal Nanoparticles1.17 Silver-Polymer Nanocomposite Films for Optical/Photonic Applications; 1.18 Silver-Polymer Nanocomposite Films for Antimicrobial Applications; 1.19 Palladium-Polymer Nanocomposite Films for Catalysis or Hydrogen Uptake Applications; 1.20 Conclusions; References; 2 In Situ Synthesis of Polymer-Embedded Nanostructures; 2.1 Introduction; 2.2 Metals; 2.2.1 Gold; 2.2.2 Cobalt; 2.2.3 Platinum; 2.3 Metal Oxides; 2.3.1 Titanium Dioxide; 2.3.2 Zinc Oxide; 2.4 Metal Sulfides; 2.4.1 Lead Sulfide; 2.4.2 Iron Sulfides 327 $a2.5 ConclusionsReferences; 3 Preparation and Characterization of Metal-Polymer Nanocomposites; 3.1 Introduction; 3.2 Nanocomposite Preparation; 3.3 Mercaptide Synthesis; 3.4 Preliminary Study of Pure Mercaptide Thermolysis Behavior by Thermal Analysis; 3.5 Metal Nanoparticle Formation in Polymeric Media; 3.6 Nanocomposite Morphology; 3.7 Nanocomposite Structural Characterization; 3.8 Some Applications of Metal-Polymer Nanocomposites; 3.9 Conclusions; References; 4 Macromolecular Metal Carboxylates as Precursors of Metallopolymer Nanocomposites; 4.1 Introduction 327 $a4.2 Structure and Molecular Organization of Macromolecular Metal Carboxylates4.2.1 Metal-Carboxylate Ionomers; 4.2.2 Hybrid Supramolecular Structures; 4.3 Preparation of Metallopolymer Nanocomposites Based on Metal Carboxylates; 4.3.1 Controlled Thermolysis of Unsaturated Metal Carboxylates; 4.3.2 Metal Nanoparticles in Polymer Carboxylate Gels and Block Copolymers; 4.3.3 Sol-Gel Methods in the Obtaining of Oxocluster Hybrid Materials; 4.4 Metal-Carboxylate Nanocomposite Materials; 4.5 Conclusion; Acknowledgments; References 327 $a5 In-Situ Microwave-Assisted Fabrication of Polymeric Nanocomposites 330 $a"Structured as a practical lab manual, this book provides detailed descriptions of how polymeric nanocomposites are synthesized, offering the reader an understanding of the principles and techniques involved. Topics covered include: an introduction to the properties and applications of nanocomposite materials; explanation of morphological and topological concepts; theory of phase separation and nanoparticle aggregation; methods for the synthesis of nanocomposites; exercising morphological control; standard characterization techniques and methods for data analysis used in the synthesis of NCs; and related toxicity issues"--$cProvided by publisher. 330 $a"The two aspects of scCO2 use most relevant to the scope of this book are the processing and synthesis of polymers, and scCO2 generation and impregnation of nanoparticles. These topics will be discussed in greater detail"--$cProvided by publisher. 606 $aNanostructured materials 606 $aPolymeric composites 615 0$aNanostructured materials. 615 0$aPolymeric composites. 676 $a620.1/18 686 $aSCI050000$2bisacsh 700 $aNicolais$b Luigi$0517523 701 $aNicolais$b Luigi$0517523 701 $aCarotenuto$b Gianfranco$0949270 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910138984303321 996 $aNanocomposites$92275455 997 $aUNINA LEADER 04694nam 22006255 450 001 9910300115003321 005 20250609110051.0 010 $a1-4939-8636-8 024 7 $a10.1007/978-1-4939-8636-1 035 $a(CKB)4100000007003158 035 $a(MiAaPQ)EBC5553486 035 $a(DE-He213)978-1-4939-8636-1 035 $a(PPN)23145810X 035 $a(MiAaPQ)EBC6241657 035 $a(EXLCZ)994100000007003158 100 $a20181012d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFrontiers in PDE-Constrained Optimization /$fedited by Harbir Antil, Drew P. Kouri, Martin-D. Lacasse, Denis Ridzal 205 $a1st ed. 2018. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2018. 215 $a1 online resource (435 pages) 225 1 $aThe IMA Volumes in Mathematics and its Applications,$x0940-6573 ;$v163 311 08$a1-4939-8635-X 327 $aPart I: PDE-Constrained Optimization - Tutorials -- A Brief Introduction to PDE Constrained Optimization -- Optimization of PDEs with Uncertain Inputs -- Inexact Trust-Region Methods for PDE-Constrained Optimization -- Numerical Optimization Methods for the Optimal Control of Elliptic Inequalities -- Introduction to PDE-Constrained Optimization in the Oil and Gas Industry -- An Extreme-Scale PDE-Constrained Optimization Problem -- Part II: PDE-Constrained Optimization - Applications -- Energetically Optimal Flapping Wing Motions via Adjoint-Based Optimization and High-Order Discretizations -- Optimization of a Fractional Differential Equation -- Sensitivity-Based Topology and Shape Optimization with Electric Motors -- Distributed Parameter Estimation for the Time-Dependent Radiative Transfer Equation -- On the Use of Optimal Transport Distances for a PDE-Constrained Optimization Problem in Seismic Imaging -- Exploiting Sparsity in Solving PDE-Constrained Inverse Problems: Application to Subsurface Flow Model Calibration. 330 $aThis volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and challenging applications. Many science and engineering applications necessitate the solution of optimization problems constrained by physical laws that are described by systems of partial differential equations (PDEs) . As a result, PDE-constrained optimization problems arise in a variety of disciplines including geophysics, earth and climate science, material science, chemical and mechanical engineering, medical imaging and physics. This volume is divided into two parts. The first part provides a comprehensive treatment of PDE-constrained optimization including discussions of problems constrained by PDEs with uncertain inputs and problems constrained by variational inequalities. We place special emphasis on algorithm development and numerical computation. The second part of this volume focuses on the application of PDE-constrained optimization including problems in optimal control, optimal design and inverse problems, which includes a comprehensive treatment of inverse problems arising in the oil and gas industry, among other topics. 410 0$aThe IMA Volumes in Mathematics and its Applications,$x0940-6573 ;$v163 606 $aDifferential equations, Partial 606 $aMathematics 606 $aMathematical optimization 606 $aTopology 606 $aPartial Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12155 606 $aMathematics of Planet Earth$3https://scigraph.springernature.com/ontologies/product-market-codes/M36000 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aTopology$3https://scigraph.springernature.com/ontologies/product-market-codes/M28000 615 0$aDifferential equations, Partial. 615 0$aMathematics. 615 0$aMathematical optimization. 615 0$aTopology. 615 14$aPartial Differential Equations. 615 24$aMathematics of Planet Earth. 615 24$aOptimization. 615 24$aTopology. 676 $a515.353 702 $aAntil$b Harbir$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKouri$b Drew P$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLacasse$b Martin-D$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRidzal$b Denis$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910300115003321 996 $aFrontiers in PDE-Constrained Optimization$91563850 997 $aUNINA