Quantum dots :synthesis, characterization, and optical investigations /

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"Version: 20240901"--Title page verso.Includes bibliographical references.1. Energy states -- 1.1. Energetic transition -- 1.2. Atoms -- 1.3. Molecules -- 1.4. States of one-electron-hole-pair -- 1.5. Coulomb interaction2. Nanoelectronics -- 2.1. Fundamental concepts -- 2.2. Traditional quantum dots -- 2.3. Emerging quantum dots3. Synthesis of quantum dots -- 3.1. Characteristics of quantum dots4. Graphene and quantum dots -- 4.1. Nanostructured graphene and quantum dots -- 4.2. The edge's role5. Optical studies of Si quantum dots -- 5.1. Introduction -- 5.2. Technique of Si quantum dots -- 5.3. Investigations of Si quantum dots6. Further optical properties of CdX (X = S, Te) compounds under quantum dot diameter effect: ab initio method -- 6.1. Introduction -- 6.2. Technique of CdX (X = S, Te) quantum dots -- 6.3. Investigation of CdX (X = S, Te) quantum dots7. Ab initio method for optical investigations of CdS1-xTex alloys under quantum dot diameter effect -- 7.1. Introduction -- 7.2. Technique of CdS1-xTex alloy quantum dots -- 7.3. Investigations of CdS1-xTex alloy quantum dots8. First-principles calculations for optical investigations of PbX (X = S, Te) compounds under quantum dots diameter effect -- 8.1. Introduction -- 8.2. Technique of PbX (X = S, Te) alloy quantum dots -- 8.3. Investigation of PbX (X = S, Te) QDs9. Chalcogenides-based quantum dots: optical investigation using first-principles calculations -- 9.1. Introduction -- 9.2. Technique of chalcogenides-based quantum dots -- 9.3. Investigation of chalcogenides-based quantum dots10. Artificial intelligence-based quantum dots -- 10.1. Introduction -- 10.2. Principles of artificial intelligence-based quantum dots -- 10.3. Fundamental concepts of artificial intelligence-based quantum dots -- 10.4. Characteristics of artificial intelligence-based quantum dots -- 10.5. Fabrication of artificial intelligence-based quantum dots -- 10.6. Preparation of artificial intelligence-based quantum dots -- 10.7. Fabrication methods for artificial intelligence-based quantum dots -- 10.8. Optical properties and investigations of artificial intelligence-based quantum dots.Full-text restricted to subscribers or individual document purchasers.The focus of this book is synthesis and optical studies of self-assembled quantum dots (QDs) with particular consideration given to the capability to control nanoelectronics properties via structural modifications. Furthermore, it is devoted to new nanotechnology tools and technological procedures useful for the developed community of science, society, improved economy and best future. The newest addition is exploring the application of artificial intelligence (AI) techniques in synthesis and optimization of quantum dots. AI-driven design utilizes machine learning algorithms to predict the properties of synthesis condition-, composition- and size-based quantum dots. AI can achieve optimal conditions for desired optical and electronic characteristics. But the processing optimizes the synthesis of QDs. AI is recommended to improve functionality and uniformity of QDs. AI predict optical properties that bases on particle shape and size, enabling rapid screening of potential quantum dot configurations. Part of IPEM-IOP Series in Coherent Sources, Quantum Fundamentals, and Applications.Students, researchers, and engineers in nanotechnology, nanoscience, optical science, material science, materials characterization, solid state physics.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Yarub Al-Douri has gained Doctorat D'etat in Materials Science (2000), MSc in Physics (1995) and BSc in Physics (1991). He was appointed Full-Professor, Visiting Professor, Adjunct Professor, Consultant Expert, Associate Professor, Assistant Professor, Research Fellow (A), Scientific Collaborator and Post-doc in Iraq, Malaysia, Turkey, Algeria, Yemen, Singapore, Germany and France, respectively. Al-Douri has initiated Nanotechnology Engineering MSc Program and Nano Computing Laboratory, the first in Malaysia. Al-Douri is a Fellow of European Academy of Sciences and received numerous accolades including the prestigious Khalifa International Award for Date Palm and Agricultural Innovation 2024, IAAM Scientist Award by International Association of Advanced Materials, Sweden 2022, World's Top 2% Scientists by Stanford University, USA 2023, 2022, 2021 & 2020, World's Top 2% Scientist Career-Long Citation Impact by Stanford University, USA 2020, OeAD Award, Austria 2020, Japan Society for the Promotion of Science (JSPS) Award 2019, Asian Universities Alliance (AUA) Award 2019, Iraqi Forum for Intellectuals and Academics Award 2019, Best Researcher Award at Cihan University Sulaimaniya 2019, Best Paper at Global Conference on Energy and Sustainable Development, Coventry, UK 2015, Distinguished Researcher Award at University Malaysia Perlis 2011-2015, Gold Award at ITEX Kuala Lumpur 2013, TWAS-UNESCO Associateship 2009-2012 & 2012-2015 and others, the total is 76 awards.Al-Douri has more than quarter century experience of research, teaching, administrative and editorial board works, organizing events, research grants and consultations. Al-Douri is Associate Editor of Nano-Micro Letters (Springer, IF= 31.6, Q1), Editor-in-Chief of Experimental and Theoretical NANOTECHNOLOGY (Scopus-indexed), Editor-in-Chief of World Journal of Nano Science and Engineering, Editor and peer-reviewer of different international journals, member of different international scientific associations. His research field focuses on nanostructures, nanoelectronics, semiconductors, renewable energy, modelling and simulation, and optical studies. List of publications is supplied separately. Al-Douri has more than 880 publications currently including patents, books, chapters review, papers, articles and conferences and USTitle from PDF title page (viewed on October 3, 2024).

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Series Title

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Call Number

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Publisher

: .,

Collation

1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9780750357043

Classification

620.1/15

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-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Nanotechnology.
Nanoelectronics.
TECHNOLOGY & ENGINEERING / Nanotechnology & MEMS.
Artificial intelligence
Quantum dots.

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Statement of Responsibility

Yarub Al-Douri.

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