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Intelligent Surfaces Empowered 6G Wireless Network / / edited by Qingqing Wu [and four others]
| Intelligent Surfaces Empowered 6G Wireless Network / / edited by Qingqing Wu [and four others] |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2024] |
| Descrizione fisica | 1 online resource (365 pages) |
| Disciplina | 621.38456 |
| Soggetto topico |
6G mobile communication systems
Smart materials Surfaces (Technology) |
| ISBN |
1-119-91310-1
1-119-91312-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Acknowledgement -- Part I Fundamentals of IRS -- Chapter 1 Introduction to Intelligent Surfaces -- 1.1 Background -- 1.2 Concept of Intelligent Surfaces -- 1.3 Advantages of Intelligence Surface -- 1.4 Potential Applications -- 1.5 Conclusion -- Bibliography -- Chapter 2 IRS Architecture and Hardware Design -- 2.1 Metamaterials: Basics of IRS -- 2.2 Programmable Metasurfaces -- 2.3 IRS Hardware Design -- 2.3.1 IRS System Architecture -- 2.3.2 IRS Element Design -- 2.3.3 IRS Array Design -- 2.3.4 IRS Controller Design -- 2.3.5 Full‐Wave Simulation and Field Test -- 2.4 State‐of‐the‐Art IRS Prototype -- 2.4.1 Passive IRS Prototype by Tsinghua -- 2.4.2 Active IRS Prototype by Tsinghua -- 2.4.3 IRS Modulation Prototype by SEU -- 2.4.3.1 Transmitter Design -- 2.4.3.2 Frame Structure Design -- 2.4.3.3 Receiver Design -- 2.4.3.4 System Design -- 2.4.4 Transmissive IRS Prototype by MIT -- 2.4.5 IRS Prototype by China Mobile -- 2.4.6 IRS Prototype by DOCOMO -- Bibliography -- Chapter 3 On Path Loss and Channel Reciprocity of RIS‐Assisted Wireless Communications -- 3.1 Introduction -- 3.2 Path Loss Modeling and Channel Reciprocity Analysis -- 3.2.1 System Description -- 3.2.2 General Path Loss Model -- 3.2.3 Path Loss Models for Typical Scenarios -- 3.2.4 Discussion on RIS Path Loss and Channel Reciprocity -- 3.3 Path Loss Measurement and Channel Reciprocity Validation -- 3.3.1 Two Fabricated RISs -- 3.3.2 Two Measurement Systems -- 3.3.3 Validation of RIS Path Loss Models -- 3.3.4 Validation of RIS Channel Reciprocity -- 3.4 Conclusion -- 3.A Appendix -- 3.A.1 Proof of Theorem 3.1 -- Bibliography -- Chapter 4 Intelligent Surface Communication Design: Main Challenges and Solutions -- 4.1 Introduction -- 4.2 Channel Estimation.
4.2.1 Problem Description and Challenges -- 4.2.2 Semi‐Passive IRS Channel Estimation -- 4.2.3 Fully‐Passive IRS Channel Estimation -- 4.3 Passive Beamforming Optimization -- 4.3.1 IRS‐aided SISO System: Passive Beamforming Basics and Power Scaling Order -- 4.3.2 IRS‐aided MISO System: Joint Active and Passive Beamforming -- 4.3.3 IRS‐Aided MIMO System -- 4.3.4 IRS‐Aided OFDM System -- 4.3.5 Passive Beamforming with Discrete Reflection Amplitude and Phase Shift -- 4.3.6 Other Related Works and Future Directions -- 4.4 IRS Deployment -- 4.4.1 IRS Deployment Optimization at the Link Level -- 4.4.1.1 Optimal Deployment of Single IRS -- 4.4.1.2 Single IRS versus Multiple Cooperative IRSs -- 4.4.1.3 LoS versus Non‐LoS (NLoS) -- 4.4.2 IRS Deployment at the Network Level: Distributed or Centralized? -- 4.4.3 Other Related Work and Future Direction -- 4.5 Conclusion -- Bibliography -- Part II IRS for 6G Wireless Systems -- Chapter 5 Overview of IRS for 6G and Industry Advance -- 5.1 IRS for 6G -- 5.1.1 Potential Use Cases -- 5.1.1.1 Indoor Use Cases -- 5.1.1.2 Outdoor Use Cases -- 5.1.2 Deployment Scenarios -- 5.2 Industrial Progresses -- 5.2.1 Funded Projects -- 5.2.2 White Papers -- 5.2.3 Prototyping and Testing -- 5.2.4 Standardization Progress -- Bibliography -- Chapter 6 RIS‐Aided Massive MIMO Antennas* -- 6.1 Introduction -- 6.1.0 Notation -- 6.2 System Model -- 6.2.1 Channel Model -- 6.2.2 Active Antenna Configuration -- 6.3 Uplink/Downlink Signal Processing -- 6.3.1 Uplink Channel Estimation -- 6.3.2 Downlink Data Transmission -- 6.4 Performance Measures -- 6.4.1 SINR and Spectral Efficiency under Perfect Channel State Information (CSI) -- 6.4.2 SINR and Spectral Efficiency under Imperfect Channel State Information (CSI) -- 6.4.2.1 The Upper‐Bound (UB) to the System Performance -- 6.4.2.2 The Hardening Lower‐Bound (LB) to System Performance. 6.5 Optimization of the RIS Phase Shifts -- 6.6 Numerical Results -- 6.7 Conclusions -- 6.A Appendix -- Bibliography -- Chapter 7 Localization, Sensing, and Their Integration with RISs -- 7.1 Introduction -- 7.1.1 Localization in 5G -- 7.1.2 RIS Key Advantages -- 7.1.2.1 Localization -- 7.1.2.2 Sensing -- 7.2 RIS Types and Channel Modeling -- 7.2.1 RIS Hardware Architectures -- 7.2.2 RIS‐Parameterized Channel Models -- 7.2.2.1 Geometric Channel Model -- 7.2.2.2 Stochastic Channel Modeling -- 7.3 Localization with RISs -- 7.3.1 Fundamentals on Localization -- 7.3.2 Localization with Reflective RISs -- 7.3.3 Localization with a Single STAR‐RIS -- 7.3.4 Localization with Multiple Receiving RISs -- 7.4 Sensing with RISs -- 7.4.1 Link Budget Analysis -- 7.4.1.1 Monostatic Radar Sensing -- 7.4.1.2 Bistatic Radar Sensing -- 7.4.2 Joint Sensing and Localization with a Single RIS -- 7.4.2.0 UE and Landmark Estimates -- 7.5 Conclusion and Open Challenges -- Bibliography -- Chapter 8 IRS‐Aided THz Communications -- 8.1 IRS‐Aided THz MIMO System Model -- 8.2 Beam Training Protocol -- 8.3 IRS Prototyping -- 8.3.1 Active Beam Steering at THz transceivers -- 8.3.2 Passive Beam Steering on THz IRS -- 8.3.3 Codebook Design for Beam Scanning -- 8.3.4 Beam‐Scanning Reflectarray -- 8.4 IRS‐THz Communication Applications -- 8.4.1 High Speed Fronthaul/Backhaul -- 8.4.2 Cellular Connected Drones -- 8.4.3 Wireless Data Center -- 8.4.4 Enhanced Indoor Coverage -- 8.4.5 Vehicular Communications -- 8.4.6 Physical‐Layer Security -- Bibliography -- Chapter 9 Joint Design of Beamforming, Phase Shifting, and Power Allocation in a Multi‐cluster IRS‐NOMA Network -- 9.1 Introduction -- 9.1.1 Previous Works -- 9.1.2 Motivation and Challenge -- 9.2 System Model and Problem Formulation -- 9.2.1 System Model -- 9.2.2 Problem Formulation -- 9.3 Alternating Algorithm. 9.3.1 Beamforming Optimization -- 9.3.2 Phase‐Shift Feasibility -- 9.3.3 Algorithm Design -- 9.4 Simulation Result -- 9.5 Conclusion -- Bibliography -- Chapter 10 IRS‐Aided Mobile Edge Computing: From Optimization to Learning -- 10.1 Introduction -- 10.2 System Model and Objective -- 10.3 Optimization‐Based Approaches to IRS‐Aided MEC -- 10.3.1 IRS Reflecting Coefficients Design -- 10.3.2 Receive Beamforming Design -- 10.3.3 Energy Partition Optimization -- 10.3.4 Convergence and Complexity -- 10.4 Deep Learning Approaches to IRS‐Aided MEC -- 10.4.1 CSI‐Based Learning Architecture -- 10.4.2 Location‐Only Learning Architecture -- 10.4.3 Input Feature Uncertainty -- 10.4.4 Comparison Between the CSI‐Based and CSI‐Free Learning Architectures -- 10.4.5 Complexity Reduction via Learning -- 10.5 Comparative Evaluation Results -- 10.5.1 Scenario Without LoS Direct Links -- 10.5.2 Scenario with Strong LoS Direct Links -- 10.6 Conclusions -- Bibliography -- Chapter 11 Interference Nulling Using Reconfigurable Intelligent Surface -- 11.1 Introduction -- 11.2 System Model -- 11.3 Interference Nulling via RIS -- 11.3.1 Feasibility of Interference Nulling -- 11.3.2 Alternating Projection Algorithm -- 11.3.3 Simulation Results -- 11.4 Learning to Minimize Interference -- 11.4.1 Learning to Initialize -- 11.4.2 Simulation Results -- 11.5 Conclusions -- Bibliography -- Chapter 12 Blind Beamforming for IRS Without Channel Estimation -- 12.1 Introduction -- 12.2 System Model -- 12.3 Random‐Max Sampling (RMS) -- 12.4 Conditional Sample Mean (CSM) -- 12.5 Some Comments on CSM -- 12.5.1 Connection to Closest Point Projection -- 12.5.2 Connection to Phase Retrieval -- 12.5.3 CSM for General Utility Functions -- 12.6 Field Tests -- 12.7 Conclusion -- Bibliography -- Chapter 13 RIS in Wireless Information and Power Transfer -- 13.1 Introduction -- 13.1.1 WPT and WIPT. 13.1.2 RIS -- 13.1.3 RIS in WPT and WIPT -- 13.2 RIS‐Aided WPT -- 13.2.1 WPT Architecture -- 13.2.2 Waveform and Beamforming -- 13.2.3 Channel Acquisition -- 13.2.3.1 Direct Channel -- 13.2.3.2 RIS‐Related Channels -- 13.2.4 Prototype and Experiments -- 13.3 RIS‐Aided WIPT -- 13.3.1 WIPT Categories -- 13.3.2 RIS‐Aided SWIPT -- 13.3.2.1 SWIPT Architecture -- 13.3.2.2 Waveform and Beamforming -- 13.3.2.3 Channel Acquisition -- 13.3.3 RIS‐Aided WPCN and WPBC -- 13.4 Conclusion -- Bibliography -- Chapter 14 Beamforming Design for Self‐Sustainable IRS‐Assisted MISO Downlink Systems -- 14.1 Introduction -- 14.2 System Model -- 14.2.1 Self‐Sustainable IRS Model -- 14.2.2 Channel and Signal Models -- 14.2.3 Power Harvesting Model at the IRS -- 14.3 Problem Formulation -- 14.4 Solution -- 14.4.1 Problem Transformation -- 14.4.2 Address the Coupling Variables and Binary Variables -- 14.4.3 Successive Convex Approximation -- 14.5 Numerical Results -- 14.6 Summary -- 14.7 Further Extension -- Bibliography -- Chapter 15 Optical Intelligent Reflecting Surfaces -- 15.1 Introduction -- 15.2 System and Channel Model -- 15.2.1 IRS Model -- 15.2.2 Transmitter and Receiver Model -- 15.2.3 Channel Model -- 15.3 Communication Theoretical Modeling of Optical IRSs -- 15.3.1 Scattering Theory -- 15.3.1.1 Incident Beam on the IRS -- 15.3.1.2 Huygens-Fresnel Principle -- 15.3.1.3 Intermediate‐Field Versus Far‐Field -- 15.3.1.4 Received Power Density -- 15.3.2 Geometric Optics -- 15.3.2.1 Equivalent Mirror‐Assisted Analysis -- 15.3.2.2 Received Power Density -- 15.4 Design of Optical IRSs for FSO Systems -- 15.4.1 IRS‐Assisted Point‐to‐Point System -- 15.4.1.1 IRS Phase‐Shift Profile Φ(r,rt) -- 15.4.1.2 IRS Efficiency ζ -- 15.4.2 IRS‐Assisted Multi‐Link System -- 15.4.2.1 Time Division Protocol -- 15.4.2.2 IRS Division Protocol -- 15.4.2.3 IRS Homogenization Protocol. 15.5 Simulation Results. |
| Record Nr. | UNINA-9910830726203321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2024] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent surfaces in biotechnology [[electronic resource] ] : scientific and engineering concepts, enabling technologies, and translation to bio-oriented applications / / edited by Marcus Textor, H. Michelle Grandin
| Intelligent surfaces in biotechnology [[electronic resource] ] : scientific and engineering concepts, enabling technologies, and translation to bio-oriented applications / / edited by Marcus Textor, H. Michelle Grandin |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, c2012 |
| Descrizione fisica | 1 online resource (428 p.) |
| Disciplina | 610.28/4 |
| Altri autori (Persone) |
TextorMarcus
GrandinH. Michelle |
| Soggetto topico |
Biomedical materials
Biotechnology - Materials Smart materials Surfaces (Technology) |
| ISBN |
1-280-59096-3
9786613620798 1-118-18123-9 1-118-18124-7 1-118-18121-2 |
| Classificazione | TEC021000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Chapter 1. Stimulus Responsive Polymers as Intelligent Coatings for Biosensors: Architectures, Response Mechanisms, and Applications Vinalia Tjong, Jianming Zhang, Ashutosh Chilkoti and Stefan Zauscher 1.1 Introduction 1.2 SRP Architectures for Biosensor Applications 1.3 Mechanisms of Response 1.4 Sensing and Transduction Mechanisms 1.5 Limitations and Challenges 1.6 Conclusion and Outlook Chapter 2. Smart Surfaces for Point-of-Care Diagnostics Michael A. Nash, Allison L. Golden, John M. Hoffman, James L. Lai, and Patrick S. Stayton 2.1 Introduction 2.2 Standard Methods for Biomarker Purification, Enrichment, and Detection 2.3 Smart Reagents for Biomarker Purification and Processing 2.4 Sample-Processing Modules for Smart Conjugate Bioassays 2.5 Devices for use in Smart Conjugate Bioassays 2.6 Conclusions Chapter 3. Design of intelligent surface modifications and optimal liquid handling for nanoscale bioanalytical sensors Laurent Feuz, Fredrik Höök and Erik Reimhult 3.1 Introduction 3.2 Orthogonal small (nano) scale surface modification using molecular self-assembly 3.3 Alternative surface patterning strategies 3.4 The challenge of analytic transport 3.5 Concluding remarks Chapter 4. Intelligent Surfaces for Field Effect Transistor Based Nano-biosensing Akira Matsumoto, Yuji Miyahara Kazunori Kataoka 4.1 Introduction 4.2 Field effect transistor based biosensors 4.3 Intelligent surfaces for signal transduction and amplification of Bio-FETs 4.4 New targets of Bio-FETs 4.5 Future Perspective Chapter 5. Supported lipid bilayers: intelligent surfaces for ion channel recordings Andreas Janshoff and Claudia Steinem 5.1 Introduction 5.2 Supported lipid bilayers 5.3 Characterizatics of SSMs 5.4 Ion channels in SSMs 5.5 Future perspective: Ion channels in micropatterned membranes Chapter 6. Antimicrobial and anti-inflammatory intelligent surfaces Hans J. Griesser, Heike Hall. A. Toby , A. Jenkins, Stegani S. Griesser, Krasimir Vasilev 6.1 Introduction 6.2 Antibacterial strategies 6.3 Bioactive antibacterial surfaces 6.4 Stimulus-responsive antibacterial coatings for wound dressings 6.5 Anti-inflammatory surfaces 6.6 Conclusions and Outlook Chapter 7. Intelligent Polymer Thin Films and Coatings for Drug Delivery Alexander N. Zelikin, Brigitte Stadler 7.1 Introduction 7.2 Surface Mediated Drug Delivery 7.3 Drug Delivery Vehicles With Functional Polymer Coatings 7.4 Outlook Chapter 8. Micro- and Nanopatterning of Active Biomolecules and Cells Daniel Aydin, Vera C. Hirschfeld-Warmeken, Ilia Louban and Joachim P. Spatz 8.1 Introduction 8.2 Chemical Approaches for Protein Immobilization 8.3 Biomolecule patterning by "top-down" techniques 8.4 Biomolecule Nanoarrays bu Block Copolymer Nanolithography 8.5 Application of Nanostructured Surfaces to Study Cell Adhesion 8.6 Conclusion Chapter 9. Responsive polymer coatings for smart applications in chromatography, drug delivery systems and cell sheet engineering Rogerio P. Pirraco, Masayuki Yamato, Yoshikatsu, Kenichi Nagase, Masamichi Nakayama, Alexandra P. Marques, Rui L. Reis and Teruo Okano 9.1 Introduction 9.2 Temperature-responsive chromatography 9.3 Temperature-responsive polymer micelle 9.4 Temperature-responsive culture surfaces 9.5 Cell sheet Engineering 9.6 Conclusions. |
| Record Nr. | UNINA-9910139704103321 |
| Hoboken, N.J., : John Wiley & Sons, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent surfaces in biotechnology [[electronic resource] ] : scientific and engineering concepts, enabling technologies, and translation to bio-oriented applications / / edited by Marcus Textor, H. Michelle Grandin
| Intelligent surfaces in biotechnology [[electronic resource] ] : scientific and engineering concepts, enabling technologies, and translation to bio-oriented applications / / edited by Marcus Textor, H. Michelle Grandin |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, c2012 |
| Descrizione fisica | 1 online resource (428 p.) |
| Disciplina | 610.28/4 |
| Altri autori (Persone) |
TextorMarcus
GrandinH. Michelle |
| Soggetto topico |
Biomedical materials
Biotechnology - Materials Smart materials Surfaces (Technology) |
| ISBN |
1-280-59096-3
9786613620798 1-118-18123-9 1-118-18124-7 1-118-18121-2 |
| Classificazione | TEC021000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Chapter 1. Stimulus Responsive Polymers as Intelligent Coatings for Biosensors: Architectures, Response Mechanisms, and Applications Vinalia Tjong, Jianming Zhang, Ashutosh Chilkoti and Stefan Zauscher 1.1 Introduction 1.2 SRP Architectures for Biosensor Applications 1.3 Mechanisms of Response 1.4 Sensing and Transduction Mechanisms 1.5 Limitations and Challenges 1.6 Conclusion and Outlook Chapter 2. Smart Surfaces for Point-of-Care Diagnostics Michael A. Nash, Allison L. Golden, John M. Hoffman, James L. Lai, and Patrick S. Stayton 2.1 Introduction 2.2 Standard Methods for Biomarker Purification, Enrichment, and Detection 2.3 Smart Reagents for Biomarker Purification and Processing 2.4 Sample-Processing Modules for Smart Conjugate Bioassays 2.5 Devices for use in Smart Conjugate Bioassays 2.6 Conclusions Chapter 3. Design of intelligent surface modifications and optimal liquid handling for nanoscale bioanalytical sensors Laurent Feuz, Fredrik Höök and Erik Reimhult 3.1 Introduction 3.2 Orthogonal small (nano) scale surface modification using molecular self-assembly 3.3 Alternative surface patterning strategies 3.4 The challenge of analytic transport 3.5 Concluding remarks Chapter 4. Intelligent Surfaces for Field Effect Transistor Based Nano-biosensing Akira Matsumoto, Yuji Miyahara Kazunori Kataoka 4.1 Introduction 4.2 Field effect transistor based biosensors 4.3 Intelligent surfaces for signal transduction and amplification of Bio-FETs 4.4 New targets of Bio-FETs 4.5 Future Perspective Chapter 5. Supported lipid bilayers: intelligent surfaces for ion channel recordings Andreas Janshoff and Claudia Steinem 5.1 Introduction 5.2 Supported lipid bilayers 5.3 Characterizatics of SSMs 5.4 Ion channels in SSMs 5.5 Future perspective: Ion channels in micropatterned membranes Chapter 6. Antimicrobial and anti-inflammatory intelligent surfaces Hans J. Griesser, Heike Hall. A. Toby , A. Jenkins, Stegani S. Griesser, Krasimir Vasilev 6.1 Introduction 6.2 Antibacterial strategies 6.3 Bioactive antibacterial surfaces 6.4 Stimulus-responsive antibacterial coatings for wound dressings 6.5 Anti-inflammatory surfaces 6.6 Conclusions and Outlook Chapter 7. Intelligent Polymer Thin Films and Coatings for Drug Delivery Alexander N. Zelikin, Brigitte Stadler 7.1 Introduction 7.2 Surface Mediated Drug Delivery 7.3 Drug Delivery Vehicles With Functional Polymer Coatings 7.4 Outlook Chapter 8. Micro- and Nanopatterning of Active Biomolecules and Cells Daniel Aydin, Vera C. Hirschfeld-Warmeken, Ilia Louban and Joachim P. Spatz 8.1 Introduction 8.2 Chemical Approaches for Protein Immobilization 8.3 Biomolecule patterning by "top-down" techniques 8.4 Biomolecule Nanoarrays bu Block Copolymer Nanolithography 8.5 Application of Nanostructured Surfaces to Study Cell Adhesion 8.6 Conclusion Chapter 9. Responsive polymer coatings for smart applications in chromatography, drug delivery systems and cell sheet engineering Rogerio P. Pirraco, Masayuki Yamato, Yoshikatsu, Kenichi Nagase, Masamichi Nakayama, Alexandra P. Marques, Rui L. Reis and Teruo Okano 9.1 Introduction 9.2 Temperature-responsive chromatography 9.3 Temperature-responsive polymer micelle 9.4 Temperature-responsive culture surfaces 9.5 Cell sheet Engineering 9.6 Conclusions. |
| Record Nr. | UNINA-9910810218303321 |
| Hoboken, N.J., : John Wiley & Sons, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Interfacial Phenomena in Adhesion and Adhesive Bonding / / edited by Shin Horiuchi, Nao Terasaki, Takayuki Miyamae
| Interfacial Phenomena in Adhesion and Adhesive Bonding / / edited by Shin Horiuchi, Nao Terasaki, Takayuki Miyamae |
| Autore | Horiuchi Shin |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (368 pages) |
| Disciplina | 620.44 |
| Altri autori (Persone) |
TerasakiNao
MiyamaeTakayuki |
| Soggetto topico |
Surfaces (Technology)
Thin films Materials - Analysis Spectrum analysis Polymers Surfaces, Interfaces and Thin Film Materials Characterization Technique Spectroscopy |
| ISBN | 981-9944-56-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction – Interfaces in adhesion and adhesive bonding -- 2. Electron microscopy for visualization of interfaces in adhesion and adhesive bonding -- Interfacial phenomena in adhesion and adhesive bonding investigated by electron microscopy -- Direct visualization of mechanical behavior during adhesive bonding failure using mechanoluminescence (ML) -- Analysis of molecular surface/interfacial layer by sum-frequency generation (SFG) spectroscopy. |
| Record Nr. | UNINA-9910753398103321 |
Horiuchi Shin
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International heat treatment and surface engineering
| International heat treatment and surface engineering |
| Pubbl/distr/stampa | [Leeds] : , : Maney on behalf of the Partnership, , [2007-2014] |
| Descrizione fisica | 1 online resource |
| Disciplina | 671.36 |
| Soggetto topico |
Metals - Heat treatment
Surfaces (Technology) |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1749-5156 |
| Classificazione |
52.78
950 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996218431703316 |
| [Leeds] : , : Maney on behalf of the Partnership, , [2007-2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International heat treatment and surface engineering
| International heat treatment and surface engineering |
| Pubbl/distr/stampa | [Leeds] : , : Maney on behalf of the Partnership, , [2007-2014] |
| Descrizione fisica | 1 online resource |
| Disciplina | 671.36 |
| Soggetto topico |
Metals - Heat treatment
Surfaces (Technology) |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1749-5156 |
| Classificazione |
52.78
950 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910172200603321 |
| [Leeds] : , : Maney on behalf of the Partnership, , [2007-2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International journal of surface engineering and interdisciplinary materials science
| International journal of surface engineering and interdisciplinary materials science |
| Pubbl/distr/stampa | Hershey, PA : , : IGI Global, 2013- |
| Disciplina | 620 |
| Soggetto topico |
Surfaces (Technology)
Materials science |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Materials Science |
| ISSN | 2166-7225 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | IJSEIMS |
| Record Nr. | UNISA-996546861303316 |
| Hershey, PA : , : IGI Global, 2013- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Introduction to Corrosion : Basics and Advances / / Ambrish Singh
| Introduction to Corrosion : Basics and Advances / / Ambrish Singh |
| Autore | Singh Ambrish |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2023 |
| Descrizione fisica | 1 Online-Ressource (198 pages) |
| Disciplina | 620.44 |
| Soggetto topico | Surfaces (Technology) |
| ISBN | 1-83768-668-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910741320003321 |
|
Singh Ambrish
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| London : , : IntechOpen, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Introduction to surface engineering and functionally engineered materials [[electronic resource] /] / Peter M. Martin
| Introduction to surface engineering and functionally engineered materials [[electronic resource] /] / Peter M. Martin |
| Autore | Martin Peter M |
| Pubbl/distr/stampa | Salem, MA, : Scrivener Pub. |
| Descrizione fisica | 1 online resource (586 p.) |
| Disciplina |
620.44
620/.44 |
| Collana | Wiley-Scrivener |
| Soggetto topico |
Coatings
Electronics - Materials Surfaces (Technology) |
| ISBN |
1-283-28296-8
9786613282965 1-118-17188-8 1-118-17189-6 1-118-17186-1 |
| Classificazione | TEC021000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Introduction to Surface Engineering and Functionally Engineered Materials; Contents; Preface; 1 Properties of Solid Surfaces; 1.1 Introduction; 1.2 Tribological Properties of Solid Surfaces; 1.2.1 Wear; 1.2.2 Coefficient of Friction: Lubricity; 1.2.3 Hardness; 1.3 Optical Properties of Solid Surfaces; 1.4 Electric and Opto-electronic Properties of Solid Surfaces; 1.5 Corrosion of Solid Surfaces; References; 2 Thin Film Deposition Processes; 2.1 Physical Vapor Deposition; 2.1.1 Thermal and Electron Beam Evaporation; 2.1.2 Ion Treatments in Thin Film Deposition: Ion Assisted Deposition
2.1.3 Ion Plating2.1.4 Planar Diode and Planar Magnetron Sputtering; 2.1.5 Unbalanced and Closed Field Magnetron Sputtering Processes; 2.1.6 Cylindrical and Rotating Magnetron Sputtering; 2.1.7 High Power Pulsed Magnetron Sputtering (HPPMS); 2.1.8 Dual Magnetron and Mid Frequency Sputtering; 2.1.9 Ion Beam Sputtering; 2.1.10 Filtered Cathodic Arc Deposition; 2.2 Chemical Vapor Deposition; 2.2.1 Basic Chemical Vapor Deposition (CVD); 2.2.2 Plasma Enhanced Chemical Vapor Deposition; 2.2.3 Atomic Layer Deposition (ALD); 2.3 Pulsed Laser Deposition; 2.4 Hybrid Deposition Processes 2.4.1 Vacuum Polymer Deposition2.4.2 Magnetron-Based Hybrid Deposition Processes; References; 3 Thin Film Structure and Defects; 3.1 Thin Film Nucleation and Growth; 3.2 Structure of Thin Films; 3.2.1 Amorphous Thin Films; 3.2.2 Grain Growth in Thin Films; 3.2.3 Columnar Structures; 3.3 Thin Film Structure Zone Models; 3.3.1 Zone Structure Model Updates; References; 4 Thin Film Tribological Materials; 4.1 Hard and Ultrahard, Wear Resistant and Lubricous Thin Film Materials; 4.1.1 Titanium Based Thin Films; 4.1.2 Boron Nitride and Related Materials 4.1.3 Chromium Based Thin Film Materials: Chromium, Chromium Nitride, Titanium Nitride, and Titanium Carbide4.1.4 Binary Carbon Based Thin Film Materials: Diamond, Hard Carbon and Amorphous Carbon; 4.1.5 Binary Carbon and Silicon Carbide Materials and Multilayers; 4.1.6 Tungsten Carbide, Molybdenum Sulfide, Silicon Nitride, and Aluminum Oxide; 4.1.7 Transparent Oxides and Nitrides; 4.1.8 Zirconium Dioxide and Yttria Stabilized Zirconium Dioxide; 4.2 Multifunctional Nanostructured, Nanolaminate, and Nanocomposite Triboligical Materials; References; 5 Optical Thin Films and Composites 5.1 Optical Properties at an Interface5.2 Single Layer Optical Coatings; 5.3 Multilayer Thin Film Optical Coatings; 5.3.1 Broad Band Antireflection Coatings; 5.3.2 High Reflectance Multilayer Coatings; 5.4 Color and Chromaticity in Thin Films; 5.4.1 Color in Thin Films and Solid Surfaces; 5.4.2 Color in Thin Films: Reflectance; 5.4.3 Color in Thin Films: Transmission; 5.5 Decorative and Architectural Coatings; References; 6 Fabrication Processes for Electrical and Electro-Optical Thin Films; 6.1 Plasma Processing: Introduction; 6.2 Etching Processes; 6.3 Wet Chemical Etching 6.4 Metallization |
| Record Nr. | UNINA-9910141238403321 |
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Martin Peter M
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| Salem, MA, : Scrivener Pub. | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Ion Beam Technology and Applications / / edited by Ozan Artun
| Ion Beam Technology and Applications / / edited by Ozan Artun |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2023 |
| Descrizione fisica | 1 online resource (110 pages) : illustrations |
| Disciplina | 620.1123 |
| Soggetto topico |
Surfaces (Technology)
Strength of materials |
| ISBN | 1-83769-109-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introductory Chapter: Ion Beam Technology and Applications -- 2. Ion Beam Application to Nuclear Material Damage Assessment -- 3. Surface Microstructure Changes Induced by Ion Beam Irradiation -- 4. Oblique Ar+ Sputtered SiC Thin Films: Structural, Optical, and Electrical Properties -- 5. Electron Beam Processing of Biological Objects and Materials -- 6. DC Parallel Ribbon Ion Beams for High-Dose Processes. |
| Record Nr. | UNINA-9910765538103321 |
| London : , : IntechOpen, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
-
Surfaces (Technology)
(166)
- Thin films (34)
- Surfaces, Interfaces and Thin Film (23)
- Coatings (19)
- Surfaces (Physics) (18)