Nanophotonics And Machine Learning
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Nanophotonics And Machine Learning
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Author : Kan Yao
language : en
Publisher: Springer Nature
Release Date : 2023-03-27
Nanophotonics And Machine Learning written by Kan Yao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Science categories.
This book, the first of its kind, bridges the gap between the increasingly interlinked fields of nanophotonics and artificial intelligence (AI). While artificial intelligence techniques, machine learning in particular, have revolutionized many different areas of scientific research, nanophotonics holds a special position as it simultaneously benefits from AI-assisted device design whilst providing novel computing platforms for AI. This book is aimed at both researchers in nanophotonics who want to utilize AI techniques and researchers in the computing community in search of new photonics-based hardware. The book guides the reader through the general concepts and specific topics of relevance from both nanophotonics and AI, including optical antennas, metamaterials, metasurfaces, and other photonic devices on the one hand, and different machine learning paradigms and deep learning algorithms on the other. It goes on to comprehensively survey inverse techniques for device design, AI-enabled applications in nanophotonics, and nanophotonic platforms for AI. This book will be essential reading for graduate students, academic researchers, and industry professionals from either side of this fast-developing, interdisciplinary field.
Integrated Nanophotonics
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Author : Peng Yu
language : en
Publisher: John Wiley & Sons
Release Date : 2023-05-31
Integrated Nanophotonics written by Peng Yu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Technology & Engineering categories.
Integrated Nanophotonics Helps readers understand the important advances in nanophotonics materials development and their latest applications This book introduces the current state of and emerging trends in the development of integrated nanophotonics. Written by three well-qualified authors, it systematically reviews the knowledge of integrated nanophotonics from theory to the most recent technological developments. It also covers the applications of integrated nanophotonics in essential areas such as neuromorphic computing, biosensing, and optical communications. Lastly, it brings together the latest advancements in the key principles of photonic integrated circuits, plus the recent advances in tackling the barriers in photonic integrated circuits. Sample topics included in this comprehensive resource include: Platforms for integrated nanophotonics, including lithium niobate nanophotonics, indium phosphide nanophotonics, silicon nanophotonics, and nonlinear optics for integrated photonics The devices and technologies for integrated nanophotonics in on-chip light sources, optical packaging of photonic integrated circuits, optical interconnects, and light processing devices Applications on neuromorphic computing, biosensing, LIDAR, and computing for AI and artificial neural network and deep learning Materials scientists, physicists, and physical chemists can use this book to understand the totality of cutting-edge theory, research, and applications in the field of integrated nanophotonics.
Advances And Applications In Deep Learning
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-12-09
Advances And Applications In Deep Learning written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with Computers categories.
Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.
Frontiers In Optics And Photonics
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Author : Federico Capasso
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-06-08
Frontiers In Optics And Photonics written by Federico Capasso and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with Technology & Engineering categories.
This book provides a cutting-edge research overview on the latest developments in the field of Optics and Photonics. All chapters are authored by the pioneers in their field and will cover the developments in Quantum Photonics, Optical properties of 2D Materials, Optical Sensors, Organic Opto-electronics, Nanophotonics, Metamaterials, Plasmonics, Quantum Cascade lasers, LEDs, Biophotonics and biomedical photonics and spectroscopy.
Nano Photonics For Advanced Networks
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Author : Kiyoshi Asakawa
language : en
Publisher: Springer Nature
Release Date : 2025-07-14
Nano Photonics For Advanced Networks written by Kiyoshi Asakawa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Science categories.
This book encourages optoelectronic researchers and engineers to exploit innovative nano-photonic applications in next-generation information and communications systems. The authors discuss applications enabled by three forms of nano-photonics: silicon photonics, photonic crystals and surface plasmons, with a view to the development of the defining applications and technologies of tomorrow. They explain topics clearly for readers both new to the field and experts in photonics, providing: basic knowledge of the general structures, physics and characteristics of optoelectronic devices; advanced understanding of the specific structures, physics and characteristics of the latest nano-scale optoelectronic and surface-plasmonic devices and related technologies; and an account of practical applications for each form of nano-photonics, among them: optical transception, LiDAR, optical neuro-computing, optical random access memory and high-power and narrow-beam surface-emitting lasers. The book is organised to treat the basics of each form of nano-photonic device and then the applications. Specialist researchers studying and practitioners employing nano-photonics will find Nano-photonics for Advanced Networks to be a useful means of keeping track of both the properties and applications of such devices. The book will also serve graduate students well as a comprehensive sourcebook for the subject.
Intelligent Nanotechnology
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Author : Yuebing Zheng
language : en
Publisher: Elsevier
Release Date : 2022-10-26
Intelligent Nanotechnology written by Yuebing Zheng and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-26 with Technology & Engineering categories.
Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research. - Includes recent advances on AI-enhanced design, characterization and the manufacturing of nanomaterials - Reviews AI technologies that have been enabled by nanotechnology - Discusses potentially world-changing applications that could ensue as a result of merging these two fields
Computational Simulation In Nanophotonics And Spectroscopy
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Author : Mengtao Sun
language : en
Publisher: Springer Nature
Release Date : 2023-10-29
Computational Simulation In Nanophotonics And Spectroscopy written by Mengtao Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-29 with Science categories.
Nanophotonics and spectroscopy has advanced rapidly in recent years. Experimental research on nanophotonics is very active. In addition to experimental research on the principles and applications of nanophotonics, computational simulation research on its various physical mechanisms and phenomena is equally important. The simulation of the optical properties of molecules or crystals, such as electronic spectra (absorption and emission spectra, etc.) and vibrational spectroscopy has extraordinary guiding significance for experiments. The current computational simulation technology can also explain and analyze the physical mechanisms behind phenomena. However, among the many computational simulation software programs available, the operation methods and application scenarios are different. The barrier for new users to conduct research with computational simulation is high. Even for researchers with some experience, it is not easy to develop a comprehensive understanding of the various software programs, keywords, programming languages and auxiliary programs. This book serves as an introductory book for beginners to get started with the technology, and a handbook for experienced readers to quickly look up for commands and script usage. It is a handy reference for graduate students and researchers engaged in the study of photonics and optics.
Reviews And Advances In Functional Materials
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Author : Xian Jun Loh
language : en
Publisher: World Scientific
Release Date : 2025-02-20
Reviews And Advances In Functional Materials written by Xian Jun Loh and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Technology & Engineering categories.
This book is a carefully curated selection of the most significant and timely articles from the publisher's premium journal, the World Scientific Annual Review of Functional Materials, which annually publishes invited contributions on the functional aspects of materials science. The journal affiliated to this book is increasingly recognized in the region as a platform for forward-thinking perspectives in materials science, to address global challenges such as sustainability, climate change, environmental protection, energy generation, storage and distribution, food and water safety and provision, global health, and healthcare. This book leads the way to reflect upon and celebrate the scholarly contributions.
Ai And Data Analytics In Precision Agriculture For Sustainable Development
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Author : Sita Rani
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Ai And Data Analytics In Precision Agriculture For Sustainable Development written by Sita Rani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Computers categories.
This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity. Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs. Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture’s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment. Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.
Shallow Learning Vs Deep Learning
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Author : Ömer Faruk Ertuğrul
language : en
Publisher: Springer Nature
Release Date : 2024-10-12
Shallow Learning Vs Deep Learning written by Ömer Faruk Ertuğrul and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Mathematics categories.
This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep learning, and examines their applications across various domains. Shallow Learning vs Deep Learning: A Practical Guide for Machine Learning Solutions emphasizes that the choice of a machine learning approach should be informed by the specific characteristics of the dataset, the operational environment, and the unique requirements of each application, rather than being influenced by prevailing trends. In each chapter, the book delves into different application areas, such as engineering, real-world scenarios, social applications, image processing, biomedical applications, anomaly detection, natural language processing, speech recognition, recommendation systems, autonomous systems, and smart grid applications. By comparing and contrasting the effectiveness of shallow and deep learning in these areas, the book provides a framework for thoughtful selection and application of machine learning strategies. This guide is designed for researchers, practitioners, and students who seek to deepen their understanding of when and how to apply different machine learning techniques effectively. Through comparative studies and detailed analyses, readers will gain valuable insights to make informed decisions in their respective fields.