Note: Intro -- front-matter -- Table of Contents -- Preface -- 1 -- Organic-Inorganic Perovskite Based Solar Cells -- 1. Introduction -- 2. Silicon Solar Cells (SSCs) -- 3. Perovskites-Based Solar Cells (PSCs) -- 3.1 Structure of PSCs -- 3.2 Optoelectronic Properties Of PSCs -- 3.3 Influence of A, B, and X site -- 3.3.1 A-Site -- 3.3.2 B-Site -- 3.3.3 X-Site -- 4. Mixed Concentration of Perovskite Absorbing Layer -- 4.1 A-site -- 4.4 Mixed B-Sites Cations -- 4.5 X-Site -- 5. Requirements for Each Layer -- 5.1 Electron Transport Layer -- 5.1.1 Different ETL Material Used In Perovskite Cells -- 5.2 Hole Transporting Layer -- 5.2.1 Hole Transporting Material (HTM) -- 5.2.2 Inorganic P-type semiconductors as HTMs -- 5.2.3 Organometallic HTMs -- 5.3 Absorbing Layer -- 5.3.1 Preparation Method of The Perovskite Light Absorbing Layer -- 6. Fabrication Techniques -- 6.1 One-Step Deposition -- 6.2 Two-Step Deposition -- 6.3 Vapor Deposition Method -- 6.4 Spin Coating -- 6.4.1 One-Step Spin Coating -- 6.4.2 Two-Step Spin Coating -- 6.5 Thermal Vapor Deposition -- 7. Challenges in Perovskite-Based Solar Cells -- 7.1 Stability Challenges -- 7.2 Thermal Effect -- 7.3 Toxicity -- 7.4 J-V Hysteresis -- 8. Efficiency of Perovskite -- 9. Future Perspectives -- Conclusion -- References -- 2 -- Organometallic Halides-Based Perovskite Solar Cells -- 1. Introduction -- 1.1 Carbon-based energy sources -- 1.2 The global trend toward renewable energy resources -- 1.3 Era of Solar Cell (SCs) technology -- 1.4 Green energy (Carbon free) -- 2. Photovoltaic effect -- 2.1 Discovery of Sir Alexander Edmond Becquerel -- 2.2 Development of solar cells -- 2.3 Generations -- 2.4 Types of 3rd generation of SCs -- 3. Perovskite-based solar cells -- 3.1 Introduction to perovskite compounds -- 3.2 Classification of perovskite -- 3.3 Organometallic halide-based perovskite (OMHP) solar cells. , 3.4 Evolutionary history of perovskite solar cells with their efficiency -- 3.4.1 Open-circuit voltage (OCV) -- 3.4.2 Short-circuit voltage (Jsc) -- 3.4.3 Fill factor (FF) -- 3.5 Crystal structure of organometallic halides-based perovskite solar cells -- 3.6 Behavior of OMHP with different combinations of A, B, and X -- 3.6.1 A-site cations -- 3.6.2 B-site cations -- 3.6.3 X-site anions -- 3.6.3.1 Iodide (I) anion -- 3.6.3.2 Chloride (Cl) anion -- 3.6.3.3 Bromide (Br) anion -- 3.7 Goldschmidt tolerance factor ( ) -- 3.8 Octahedral factor (OF) -- 4. Important Parameters of Organometallic Halide-Based Perovskite (OMHP) -- 4.1 Charge transport (CT) -- 4.2 Diffusion length and mobility of charge carriers -- 4.3 Electronic structure (ES) -- 4.4 Effect of effective masses of holes and electron carriers -- 5. Environmental instability of organometallic halides-based perovskites (OMHPs) solar cells -- 5.1 Degradation and stability issue -- 5.2 Effect of moisture -- 5.3 Effect of temperature -- 5.4 Effect of oxygen and light -- 6. Recent development in the OMHP solar cells -- 6.1 Ion migration and the suppression of ions -- 6.2 Solvent engineering -- 6.3 Annealing -- 6.4 2D/3D technology -- 6.5 Organometallic halides-based perovskite quantum dot solar cells -- 6.6 Solid-state hole conductor-free (HCF) OMHP-SCs -- 6.7 Tandem perovskite solar cells (TPSCs) -- 6.8 Passivation of OMHP-SCs -- Conclusion -- References -- 3 -- Perovskite Based Ferroelectric Materials for Energy Storage Devices -- 1. Introduction -- 2. Ferroelectricity -- 3. Ferroelectric Perovskites -- 4. Lead-Based Perovskite Ferroelectrics -- 4.1 Niobate-Based Ferroelectrics -- 4.2 Lanthanum Based Ferroelectrics -- 4.3 Lead-Free Perovskite Ferroelectrics -- 4.3.1 Barium Titanate Based Ferroelectric -- 4.3.2 Alkaline Niobate Based Ferroelectric -- 4.3.3 Bismuth Based Ferroelectrics. , 5. Energy Storage Devices -- 5.1 Types of Energy Storage Devices -- 5.1.1 Battery Energy Storage -- 5.1.2 Thermal Energy Storage -- 5.1.3 Pumped Hydroelectric Energy Storage -- 5.1.4 Mechanical Energy Storage -- 5.1.5 Hydrogen Energy Storage -- 6. Transport Properties -- 7. Energy Density of Ferroelectrics -- 7.1 Ways to Improve Energy Density -- 7.1.1 Chemical Substitution -- 8. High Energy Efficiency Perovskite Solar Cells -- 9. Ferroelectrics for Energy Storage Devices -- 9.1 Fuel Cells -- 9.2 Photocatalysts -- 9.2.1 Characterization and Preparation of Photo Catalysts -- 9.3 Capacitive Energy Storage Devices -- Conclusion -- References -- 4 -- Techniques for Recycling and Recovery of Perovskites Solar Cells -- 1. Introduction -- 1.1 Recycling Roadmap -- 1.2 Delamination of perovskite solar cell modules -- 3. Need of recycling -- 3.1 Degradation of perovskite solar cells -- 3.2 Use of expensive raw materials -- 3.3 Toxicity behavior of lead -- 4. Recycling of several parts of perovskite solar cells -- 4.1 Recycling of transparent conducting oxide (TCO) -- 4.2 Recycling of Electron Transport Layer (ETL) -- 4.3 Recycling of toxic lead component -- 4.4 Recycling of metal electrodes -- 4.5 Recycling of monolithic structure -- 5. Future challenges -- 6. Analysis of cost -- Conclusion and future perspective -- Conflict of interest -- Acknowledgment -- References -- 5 -- Lead-Free Perovskite Solar Cells -- 1. Introduction -- 2. Categories of Lead-Free Perovskite Solar Cells (PSCs) -- 2.1 Tin-Based PSCs -- 2.2 Germanium-Based PSCs -- 2.3 Antimony and bismuth-based PSCs -- 2.4 Halide double perovskites (HDPs) -- 3. Improvement Scopes in Lead-Free PSCs -- 3.1 Photovoltaic Efficiency -- 3.2 Stability -- 3.3 Defect Parameter Characterization and Defect Tolerance -- 3.4 Charge Transport Characterization -- 3.5 Electronic Dimensionality. , 4. Processing of High-Quality Lead-Free Perovskite Films -- 4.1 Vapour deposition method -- 4.2 Anti-Solvent Technique -- 4.3 Solution Processing -- 4.4 Two-Step Deposition -- 4.5 Low Pressure Assisted Solution Processing -- 4.6 Spin Coating -- 4.7 Inter-diffusion Method -- 4.8 Doctor Blade Coating -- 4.9 Vacuum Flash-Assisted Solution Process (VASP) -- 4.10 Complex Assisted Gas Quenching (CAGQ) method -- 4.11 Soft Cover Deposition (SCD) -- Conclusion and outlook -- References -- 6 -- Technical Potential Evaluation of Inorganic Tin Perovskite Solar Cells -- 1. Introduction -- 2. Inorganic tin perovskite solar cells parameters used in AHP analysis -- 3. AHP Methodology -- 4. Results and discussion -- Conclusions -- References -- back-matter -- Keyword Index -- About the Editors.

Note: Intro -- front-matter -- Table of Contents -- Preface -- 1 -- Artificial Intelligence Nano-Robots -- 1. Introduction -- 2. Composites -- 2.1 Liquid crystal elastomers -- 2.2 Shape memory polymers -- 2.3 Hydrogels -- 2.4 CNT actuators -- 2.5 Conducting polymers -- 3. Components and materials -- 4. Movement in nanorobots -- 5. Mechanism and stimulation -- 6. Trust dimensions -- 6.1 Reliability and safety -- 6.2 Explainability and interpretability -- 6.3 Privacy and security -- 6.4 Performance and robustness -- 7. Actuators -- 7.1 Thermally responsive actuators -- 7.2 Photo-responsive actuators -- 7.3 Magnetically responsive actuators -- 7.4 Electrically responsive actuators -- 8. Applications -- 8.1 Cancer detection and its treatment -- 8.2 Nanorobots in the diagnosis and treatment of diabetes -- 8.3 Artificial oxygen carrier nanorobot -- 9. Future challenges -- Conclusion and future scope -- Conflict of interest -- Acknowledgment -- References -- 2 -- Data Mining in Material Science -- 1. Introduction -- 2. Machine learning and materials science -- 3. ML algorithms in materials science -- 4. Steps in machine learning for materials science -- 4.1 Experience -- 4.2 Task -- 4.3 Classification -- 4.4 Regression -- 4.5 Clustering -- 4.6 Dimension reduction and conception -- 4.7 Efficient searching -- 4.8 Performance measure -- 4.9 Model particulars -- 4.10 Supervised model -- Conclusion -- References -- 3 -- Artificial Intelligence Applications in Solar Photovoltaic Renewable Energy Systems -- 1. Introduction -- 1.1 Overview of Solar PV Renewable Energy System and Artificial Intelligence (AI) Technology -- 1.2 Solar energy generation -- 1.3 Classification of solar energy technologies (SET) -- 1.3.1 Concentrated solar-thermal power (CSP) -- 1.3.2 Solar photovoltaic energy -- 2. Artificial intelligence (AI) -- 2.1 Machine learning -- 2.2 Deep learning. , 2.2.1 Convolutional neural networks (CNNs) -- 2.2.2 Long short-term memory (LSTM) -- 2.2.3 Generative adversarial network (GAN) -- 3. Application of AI in solar PV system -- 3.1 Monitoring of PV systems -- 3.2 PV fault detection and diagnosis (FDD) methods -- 3.3 Employment of AI technologies for sizing PV systems -- 3.4 Modelling of a solar PV generator -- 3.5 Solar water heating systems (SWHs) -- 4. Challenges of effective AI application in solar PV system -- 4.1 Solar energy optimization -- 4.2 PV-dependent hybrid facility optimization -- 4.3 External factors of solar energy generation -- 4.4 Challenges in the development of solar energy systems -- 4.5 Solar energy transformation -- 5. Prospects and future work consideration -- Conclusion -- References -- 4 -- Artificial Intelligence in Material Genomics -- 1. Introduction -- 2. Material genomics -- 3. Strength of artificial intelligence -- 4. Artificial intelligence in material genomics -- Conclusion -- References -- 5 -- Applications of Artificial Intelligence in Polymer Manufacturing -- 1. Introduction -- 1.1 Advantages and disadvantages of artificial intelligence in polymer manufacturing -- 2. Classification of artificial intelligence -- 2.1 Classification of AI based on capabilities -- 3. Key Developments and commercialization in the polymer industry -- 4. Application of artificial intelligence in polymer manufacturing -- 4.1 Artificial intelligence and polymer manufacturing -- 4.2 Biodegradable polymers and artificial intelligence -- 4.3 Artificial intelligence and packaging industries -- 4.4 Agriculture and artificial intelligence -- 4.5 Healthcare and artificial intelligence -- 4.6 Artificial intelligence and dentistry -- 4.7 Food industry and artificial intelligence -- 4.8 Cosmetic artificial intelligence -- 5. Future prospects and conventional challenges. , 6. Guidelines, rules, and regulations for polymeric manufacturing -- Conclusion -- Acknowledgment -- Conflict of Interest -- Reference -- 6 -- Artificial Intelligence for Energy Conversion -- 1. Introduction -- 2. Alternative sources of energy and artificial intelligence -- 3. Machine learning and its application in material sciences -- 4. Limitation of principled method and how ML can intervene -- 5. Applications of AI in the domain of energy conversions -- 5.1 AI in photonics -- 5.2 AI in electrochemical catalyst -- 5.3 AI in electrolysis -- 5.4 AI in fuel cell technology -- Conclusions -- Acknowledgments -- References -- back-matter -- Keyword Index -- About the Editors.