LEADER 06618nam 2200481 450 001 9910555096603321 005 20210901203039.0 010 $a3-527-80488-9 010 $a3-527-80489-7 035 $a(CKB)4330000000010811 035 $a(MiAaPQ)EBC5568368 035 $a(Au-PeEL)EBL5568368 035 $a(CaPaEBR)ebr11626973 035 $a(OCoLC)1061110553 035 $a(EXLCZ)994330000000010811 100 $a20181122d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFlexible carbon-based electronics /$fedited by Paolo Samori? and Vincenzo Palermo 210 1$aWeinheim, Germany :$cWiley-VCH,$d2018. 215 $a1 online resource (337 pages) 225 1 $aAdvanced Nanocarbon Materials Ser. 311 $a3-527-34191-9 327 $aCover -- Title Page -- Copyright -- Contents -- About the Series Editor -- Preface -- Chapter 1 Soft Composites with Tunable Optical and Electrical Properties -- 1.1 Introduction -- 1.2 Soft Color Composites -- 1.3 Hybrid Viscoelastic Polymer Composites -- 1.4 Elastomeric Conductive Composites -- 1.5 Conclusions and Future Perspectives -- Acknowledgments -- References -- Chapter 2 Organic Semiconductors for Transparent Electronics -- 2.1 Introduction -- 2.2 Optically Transparent Semiconductor Families -- 2.2.1 Thin?film Transistors -- 2.2.2 Oligothiophenes -- 2.2.3 Fused Heteroacenes -- 2.2.4 Rylene and Fused Aromatic Dicarboximides -- 2.2.5 Other Semiconductors -- 2.3 Conclusions and Perspectives -- References -- Chapter 3 Flexible Carbon?based Electronics: Flexible Solar Cells -- 3.1 Introduction -- 3.2 Applications -- 3.3 Device Physics -- 3.3.1 Structure and Operating Principle -- 3.3.2 Solar Cell Characteristics -- 3.4 New Materials -- 3.5 Flexible Electrodes -- 3.6 Processing -- 3.6.1 Laboratory Scale -- 3.6.2 Industrial Scale -- 3.6.3 Solar Modules -- 3.7 Summary and Outlook -- References -- Chapter 4 Development of Organic Field?effect Transistors for Operation at High Frequency -- 4.1 Introduction -- 4.2 The Transition Frequency ft -- 4.2.1 Measurement Methods -- 4.3 High?frequency Organic Field?effect Transistors -- 4.3.1 Improvement of the Effective Charge Mobility -- 4.3.2 The Reduction of the Footprint -- 4.3.3 Achieving High?frequency Operation at a Low Bias Voltage -- 4.3.4 Integration into Upscalable Fabrication Processes -- 4.4 Conclusions and Perspectives -- References -- Chapter 5 Graphene for Flexible Electronics -- 5.1 Introduction -- 5.2 Synthesis and Transfer Process -- 5.2.1 Chemical Vapor Deposition (CVD): Scalable Growth -- 5.2.2 Transfer Process -- 5.3 Applications -- 5.3.1 Transparent Electrodes. 327 $a5.3.1.1 Touch Screen/Panel -- 5.3.1.2 Organic Light?Emitting Diodes -- 5.3.1.3 Photovoltaic Device -- 5.3.2 Field?effect Transistors -- 5.3.3 Sensors -- 5.3.4 Nanogenerator for Energy Harvesting -- 5.4 Conclusions and Perspectives -- References -- Chapter 6 Printing 2D Materials -- 6.1 Introduction -- 6.2 Printing Techniques -- 6.2.1 Spin Coating -- 6.2.2 Blade Coating -- 6.2.3 Rod Coating -- 6.2.4 Spray Coating -- 6.2.5 Screen Printing -- 6.2.6 Flexographic Printing -- 6.2.7 Gravure Printing -- 6.2.8 Inkjet Printing -- 6.3 Formulation and Characterization of Electronic Inks -- 6.3.1 Ink Rheology and Surface Chemistry -- 6.3.2 Dispersion of Functional Layered Materials -- 6.4 Exfoliation of Layered Crystals -- 6.4.1 Ultrasonication -- 6.4.2 Ball Milling -- 6.4.3 Shear Exfoliation -- 6.4.4 Microfluidization -- 6.5 Stabilization of Exfoliated Flakes -- 6.5.1 Surfactants -- 6.6 Formulation: From Dispersion to Ink -- 6.6.1 The Rheology of Inks -- 6.7 Printing and Coating of 2D?crystal?based Inks -- 6.7.1 Spin Coating -- 6.7.2 Blade and Rod Coating -- 6.7.3 Spray Coating -- 6.7.4 Screen Printing -- 6.7.5 Inkjet Printing -- 6.7.6 Characterization Techniques -- 6.8 Applications -- 6.8.1 Printed Electronics -- 6.8.2 Printed Optoelectronics -- 6.8.3 Sensors and Wearable Devices -- 6.8.4 Energy Devices -- 6.8.5 Printed THz Devices -- 6.9 Outlook and Future Perspectives -- Acknowledgments -- References -- Chapter 7 Characterization of Graphene Flexible Materials and Displays -- 7.1 Introduction to Display Systems -- 7.2 Graphene/Flexible Polymer Electrodes -- 7.2.1 Sheet Resistance and Transmittance of Graphene/Flexible Polymer Electrodes -- 7.2.2 Mechanical Robustness of Graphene/Flexible Polymer Electrodes -- 7.3 Graphene?based Flexible Displays -- 7.4 Outlook -- References -- Chapter 8 AMOLED Display Technology and Applications -- 8.1 Introduction. 327 $a8.2 Commercial Flexible AMOLED Displays -- 8.3 OLED Displays -- 8.3.1 Structure and Electro?optic Behavior -- 8.3.2 Lifetime Effects in OLEDs -- 8.4 AMOLED Display Design -- 8.4.1 TFT Technologies for Flexible AMOLED Displays -- 8.4.1.1 Polysilicon TFTs -- 8.4.1.2 Metal Oxide TFTs -- 8.4.2 AMOLED Pixel Design -- 8.4.3 Integrated Display Drivers -- 8.5 Substrates and Barrier Coatings -- 8.5.1 Substrates -- 8.5.2 Barrier Coatings -- 8.5.3 Additional Layers -- 8.5.4 Characterization of Flexibility -- 8.6 The Future of Flexible AMOLED Displays -- References -- Chapter 9 Flexible Batteries -- 9.1 Introduction -- 9.2 Electrochemical Power Sources - Theoretical Basics -- 9.2.1 Conventional (lithium?ion) battery build?up -- 9.3 Basic Material Concepts for Flexible Energy Storage Systems -- 9.3.1 Flexible Electrodes -- 9.3.2 Flexible Electrolyte -- 9.3.3 Flexible Packaging -- 9.4 Basic Design Concepts for Flexible Energy Storage Systems -- 9.4.1 Thin?film/Printed Batteries -- 9.4.2 Fiber?shaped/Cable?type Batteries -- 9.4.3 Embedded Batteries -- 9.5 Summary and Outlook -- References -- Chapter 10 Flexible Organic Bioelectronics and Biosensors -- 10.1 Introduction -- 10.2 Organic Material -- 10.3 Flexible Organic Electronics for Biology -- 10.3.1 OTFTs -- 10.3.1.1 OFET Sensors -- 10.3.1.2 OECTs Sensors -- 10.3.2 Organic Electrodes -- 10.3.2.1 Biological Sensing -- 10.3.2.2 Neural Recording/Stimulation -- 10.3.2.3 Others -- 10.3.3 e?Textiles -- 10.4 Conclusion -- References -- Index -- EULA. 410 0$aAdvanced Nanocarbon Materials Ser. 606 $aFlexible electronics 608 $aElectronic books. 615 0$aFlexible electronics. 676 $a621.381 702 $aSamori?$b Paolo 702 $aPalermo$b Vincenzo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555096603321 996 $aFlexible carbon-based electronics$92818391 997 $aUNINA LEADER 05264nam 22006615 450 001 9910896524003321 005 20241013125733.0 010 $a979-88-6880-444-1 024 7 $a10.1007/979-8-8688-0444-1 035 $a(MiAaPQ)EBC31725911 035 $a(Au-PeEL)EBL31725911 035 $a(CKB)36344180100041 035 $a(DE-He213)979-8-8688-0444-1 035 $a(EXLCZ)9936344180100041 100 $a20241013d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDatabricks Data Intelligence Platform $eUnlocking the GenAI Revolution /$fby Nikhil Gupta, Jason Yip 205 $a1st ed. 2024. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2024. 215 $a1 online resource (481 pages) 311 $a979-88-6880-443-4 327 $a1. Introduction -- 2. Lakehouse Platform -- 3. Databricks Platform Overview -- 4. Data Ingestion and Real-Time Analytics -- 5. Delta Lake: Deep Dive -- 6. Data Governance with Unity Catalog -- 7. Data Engineering and Analytics -- 8. Data Science, Machine Learning, and AI -- 9. Building GenAI Applications on Databricks Platform -- 10. Data Warehousing with DBSQL -- 11. Data Intelligence Platform -- 12. CI/CD and Application Development -- 13. Databricks Pricing and Observability using System Tables -- 14. Platform Security and Compliance -- 15. Advanced Topics and Industry Applications -- 16. Streaming Applications and HA/DR -- 17. Databricks in the Cloud Ecosystem -- 18. Conclusion. 330 $aThis book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises. Whether you are new to Databricks and trying to learn a new platform, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will Learn Foundational principles of Lakehouse architecture Key features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live Tables Databricks Intelligence Platform and key functionalities Building and deploying GenAI Applications from data ingestion to model serving Databricks pricing, platform security, DBRX, and many more topics . 606 $aQuantitative research 606 $aDatabase management 606 $aMachine learning 606 $aElectronic data processing$xManagement 606 $aSampling (Statistics) 606 $aData Analysis and Big Data 606 $aDatabase Management 606 $aMachine Learning 606 $aIT Operations 606 $aMethodology of Data Collection and Processing 615 0$aQuantitative research. 615 0$aDatabase management. 615 0$aMachine learning. 615 0$aElectronic data processing$xManagement. 615 0$aSampling (Statistics). 615 14$aData Analysis and Big Data. 615 24$aDatabase Management. 615 24$aMachine Learning. 615 24$aIT Operations. 615 24$aMethodology of Data Collection and Processing. 676 $a001.422 676 $a005.7 700 $aGupta$b Nikhil$01064960 701 $aYip$b Jason$01382108 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910896524003321 996 $aDatabricks Data Intelligence Platform$94210933 997 $aUNINA