Artificial Intelligence in Science and Engineering, 2 Volume Set (Hardcover, 1st)

Contents for Volume 1

Preface xvii

1 Artificial Intelligence and Complex Systems: What It Can and Cannot Do 1
1.1 Introduction 1
1.2 A Glance at History 2
1.3 Complex Media and Systems 4
1.4 Three Types of Complex Systems 5
1.5 Physics-informed and Data-driven Approach to Complex Media and Phenomena 6
1.6 What Artificial Intelligence Cannot Do 7

2 Neural Networks and Other Machine-learning Algorithms 9
2.1 Introduction 9
2.2 Training of Neural Networks: Backpropagation 11
2.3 Classification of Learning 15
2.4 Weak Learners and Boosting Algorithms 21
2.5 Activation Functions 23
2.6 Types of Neural Networks 25
2.7 Regularization of Neural Networks 43
2.8 Training of Large Neural Networks 44
2.9 Other Machine-learning Algorithms 45
2.10 Methods for Minimizing the Loss Function 48
2.11 Challenges and Future Directions 50

3 Solving Differential and Partial Differential Equations 59
3.1 Introduction 59
3.2 Solving Ordinary Differential Equations 61
3.3 Solving Partial Differential Equations 62
3.4 Solving High-dimensional Partial Differential Equations: Deep BSDE Algorithm 66
3.5 Feynman?Kac Solution for Backward Kolmogorov Equation of Stochastic Processes 69
3.6 Data-driven Discretization of Partial Differential Equations 72
3.7 Other Methods 77
3.8 Space-time Fractional Partial Differential Equations 79
3.9 Challenges and Future Directions 80

4 Fluid Mechanics: Single-phase Flow 85
4.1 Introduction 85
4.2 The Microscopic Conservation Laws 85Contents for Volume 1 ix
4.3 A Glance at History 88
4.4 Kinematics of Fluid Flow 89
4.5 Dynamics of Fluid Flow 94
4.6 Modeling Flow Systems of Type I 96
4.7 Data-driven Neural Networks for Flow Systems of Type I 99
4.8 Physics-informed and Data-driven Machine-learning Approach 109
4.9 T...


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An Introduction to Meshless Methods with Applications in Engineering (Hardcover, 1)

1.?Mathematical Modelling and Simulation? 2. Fundamentals of Numerical Modelling 3. Meshless Methods: An Overview 4. Approximation Techniques in Meshless Methods 5. Weak, Strong and Hybrid Forms of Meshless Methods 6. Meshless Formulation for Partial Differential Equations 7. Modelling Using Meshless Methods 8. Model Development and Applications 9. Three-Dimensional Meshless Modelling 10.Meshless Methods - Future Perspectives?????????????

Lubricant Blending and Quality Assurance (Hardcover, 2 ed)

0. Front Matter.? ?1.???? Introduction.? ?2.???? Mineral Oil Base Oils: API Groups I, II and III: Properties and Characteristics.? ?3.???? Synthetic Base Oils: API Groups IV and V: Properties and Characteristics.? ?4.???? Lubricant Additives: Properties and Characteristics.? ?5.???? Lubricant Formulation and Ease of Blending.? ?6.???? Lubricant Blending Plant Design: Grassroots Plants and Upgrading Existing Plants.? ?7.???? Lubricant Blending Plant Equipment and Facilities and Their Operation.? ?8.???? Lubricant Blending Issues: Avoiding Problems.? ?9.???? Testing and Analysis of Base Oils and Additives in Blending Plants.? ?10.? Testing and Analysis of Blended Lubricants.? ?11.? Lubricant Product Quality Control. 12.? Lubricant Packaging and Filling.? ?13.? Lubricant Storage.? ?14.? Product Quality Management.? ?End Matter. Glossary.

Nonlinear Vibration and Dynamics of Smart Continuous Structures and Materials (Paperback, 1)

1. Principles of Vibrations.? 2. An Introduction to the Nonlinear Vibration.? 3. Qualitative Analysis of Nonlinear Vibration.? 4. Solution Methods.? 5. Forced Vibrations of Nonlinear Systems.? 6. Nonlocal Systems and Kinematics of the Continuous Structures.? 7. An Introduction to Smart Materials.? 8. Dynamics of Nonlinear Smart Continuous Structures - Beams.? 9. Dynamics of Nonlinear Smart Continuous Structures - Plate.??

Artificial Intelligence in Heat Transfer : Advances in Numerical Heat Transfer Volume VI (Paperback)

1. Physics-informed neural networks for solving partial differential equations.? 2. Multi-Objective Optimization of Heat Transfer Problems.? 3. CFD/HT Simulations and DNN Modelling of Conjugate Heat Transfer in Metal Foams.? 4. Integrating Artificial Intelligence in Nanofluid Heat Transfer: A Deep Dive into Artificial Intelligence Applications.? 5. Developing an Artificial Neural Network Algorithm for Heat and Mass Transfer Assessment in Ternary Hybrid Nanofluid Flow.? 6. Physics Informed Deep Learning Approaches for Industrial Heat Exchangers.? 7. AI based Analysis for Optimizing Radiative Jeffery-Hamel Flow for Cross-Diffusion Effects: A Physics Informed Machine Learning.? 8. Machine Learning Process on Double Diffusive Convection in a Parallelogram Shaped Cavity.??

Modern Intermediate Mechanics (Paperback, 1)

1.Mathematical Review. 2.Newtonian Mechanics. 3.Linear Oscillations. 4.Nonlinear Oscillations. 5.Gravitation. 6.Calculus of Variations. 7.Lagrangian and Hamiltonian Mechanics. 8.Particle interactions and Central Forces.? 9.Scattering and Collisions of Particles. 10.Noninertial Reference Frames. 11.Rigid Body Motion. 12.Coupled Oscillations. 13.Special Relativity.

Fatigue of Materials and Structures : Physics and Data Science (Paperback)

1. Introduction and Overview 2. Variable Amplitude Fatigue 3. Multiaxial Fatigue 4. Fatigue Crack Growth 5. Ultra Low Cycle Fatigue 6. Very High Cycle Fatigue 7. Fatigue Reliability 8. Fatigue of Additive Manufactured Materials 9. Fatigue of Joints and Structures 10. Fatigue Modeling with Artificial Intelligence and Machine Learning 11. Advances in Fatigue: Hydrogels, Biomaterials, Ceramics, and Small Scale Dimensional Materials

Supercritical Fluids : Fundamentals and Engineering Applications (Hardcover)

1. Introduction to Supercritical Fluids and Their Applications.? 2. Phase Concepts of Supercritical Fluids.? 3. Near-Critical, Trans-Critical and Supercritical Fluid Regimes.? 4. Heat Transfer of Supercritical Fluids.? 5. Thermo-Mechanical Theory of Supercritical Fluids.? 6. Supercritical Fluids in Porous Media.? 7. Supercritical Fluids in Microgravity.? 8. Complex phase behaviors of supercritical fluids.? 9. Supercritical fluid heat exchangers.? 10. Supercritical compressors.? 11. Supercritical turbine.? 12. Supercritical Jet Dynamics and Propulsion Applications.? 13. Supercritical fluid energy storage.? 14. Supercritical energy conversion systems.? 15. Supercritical power system.? 16. Supercritical Fluid-Based Environmental Remediation.? 17. Emerging Fields of Supercritical Fluids.? 18. Summary and Outlook.??

Density-Based Topology Optimization for Thermal–Fluid Systems : Theory, Methods, and Applications for Thermal Management (Hardcover)

1. Introduction 2. Mathematical Formulation and Numerical Implementation of Density-Based Topology Optimization 3. Case Studies of Topology Optimization 4. Improvements of Topology Optimization Method 5. Validation of the Topology-Optimized Design 6. Additive Manufacturing (AM) of Topology-optimized Structures 7. Validation of the Topology-Optimized Design. Appendix A: Fast Implementation of Topology Optimization in COMSOL

Positive Energy Districts : Fundamentals, Modelling and Performance Assessment (Hardcover)

1. Towards Positive Energy Districts: An Introductory Framework.? 2. Evolution of the Concept and Definitions of Positive Energy Districts.? 3. Characterising Positive Energy Districts (PEDs) through a Preliminary Review of Existing 60 Projects in Europe.? 4. Machine Learning Algorithms for In-Depth Analysis of Positive Energy Districts? 5. Rethinking Mapping of Stakeholders in the Extended Process Flow of Positive Energy Districts.? 6. Development of PED Archetypes.? 7. Technologies and Energy Systems for Positive Energy Districts.? 8. Barriers, Enablers and Patterns in Positive Energy Districts: Results from Stakeholders and Interviews with Case Studies.? 9. Ontologies for Modelling Positive Energy Districts.? 10. Energy System Archetypes for Modelling PEDs.? 11. Integrating Control in Simulation for Enabling Energy Flexibility in Buildings, Districts and Various Systems.? 12. Value Proposition for PEDs and Their Economic Impacts.? 13. Towards an Urban Zero-Carbon Footprint: Perspectives and Case Studies on Positive Energy Districts.? 14. Environmental, Economic and Social Key Performance Indicators for Positive Energy Districts.? 15.? A Framework for Energy Performance Assessment and Monitoring of Positive Energy Districts.? 16. Step-by-Step Evaluation Method for Multiple Benefits in PEDs.? 17. An Overarching Concept for the PED Database at the EU and Global Level for Supporting the Decision-Making Processes.? 18. Best Practices for Replication of PEDs.? 19. PED Learnings from International Guidelines.? 20. Harmonising Performance Indicators for Positive Energy Districts: Evidence from Case Study Implementation and Sustainable Development Goal Mapping. Conclusions, Research Needs and Future Directions.? Appendix? Glossary and Key terms

Proceedings of the 11th International Conference on Combustion, Incineration/Pyrolysis, Emission and Climate Change - Volume 1: I-Cipec 2024, 18-20 De (Hardcover)

A Unified Thermodynamic/Vortical Theory for the Aerodynamic Force Analysis (Hardcover)

Supercritical CO2 for Comprehensive Energy Systems (Hardcover)

Introduction to Rocket Propulsion for Astronautics (Paperback)

Energy Audit of Building Systems : An Engineering Approach (Hardcover, 4 ed)

1. Introduction to Energy Audit.? 2. Energy Sources and Utility Rate Structures.? 3. Economic Analysis.? 4. Energy Analysis Tools.? 5. Electrical Systems.? 6. Building Envelope.? 7. Secondary HVAC Systems.? 8. Primary Heating and Cooling Systems.? 9. Distributed Energy Systems.? 10. Energy Management Control Systems.? 11. Smart Building Energy Systems.? 12. Water Management.? 13. Large-Scale Retrofit Analysis.? 14. Electrification Retrofit Analysis.? 15. Methods for Estimating Energy Savings.? 16. Audit Reports - Case Studies.? 17. References.? Appendix A. Conversion Factors.? Appendix B. Weather Data.??

Microcontinuum Theories (Hardcover, 1)

1.????? Introduction

2.????? Kinematics

3.????? Stress and Moment Tensors

4.????? Rates, Convected Time Derivatives and Objective Rates

5.????? Conservation and Balance Laws; Eulerian Description (Micropolar Continua)

6.????? Conservation and Balance Laws in Lagrangian Description (Micropolar Continua)

7.????? Constitutive Considerations

8.????? Constitutive Theory for Micropolar TES

9.????? Constitutive Theories for Micropolar TVES without Memory

10.?? Constitutive Theories for Micropolar TVES with Memory

11.?? Constitutive Theories for Micropolar TVF

12.?? Constitutive Theories for Micropolar TVES with Rheology

13.?? Microstretch Micro continuum Theories

14.?? Micromorphic Microcontinuum Theories

Convective Heat and Mass Transfer (Hardcover, 3 ed)

1. Thermophysical and transport fundamentals.? 2. Boundary Layers.? 3. External laminar flow: Similarity solutions for forced laminar boundary layers.? 4. Internal laminar flow.? 5. Integral methods.? 6. Fundamentals of turbulence and external turbulent flow.? 7. Turbulent and transitional internal flow.? 8. Effect of transpiration on friction, heat, and mass transfer.? 9. Analogy among momentum, heat, and mass transfer.? 10. Natural Convection.? 11. Mixed Convection.? 12. Turbulence Models.? 13. Flow and heat transfer in miniature flow passages.? 14. Diffusion and convective transport of particles.? Appendix A. Constitutive relations in polar cylindrical and spherical coordinates. Appendix B. Mass continuity and Newtonian incompressible ?uid equations of motion in polar cylindrical and spherical coordinates. Appendix C. Energy conservation equations in polar cylindrical and spherical coordinates for incompressible ?uids with constant thermal conductivity. Appendix D. Mass species conservation equations in polar cylindrical and spherical coordinates for incompressible ?uids.? Appendix E.?Thermodynamic properties of saturated water and steam.? Appendix F.?Transport properties of saturated water and steam.? Appendix G.?Properties of selected ideal gases at 1 atm.? Appendix H.?Binary diffusion coefficients of selected gases in air at 1 atmosphere.? Appendix I.?Henry’s constant (in bars) for dilute aqueous solutions of selected substances at moderate pressures. Appendix J.?Diffusion coefficients of selected substances in water at infinite dilution at 25°C.? Appendix K.?Lennard?Jones potential 6?12 model constants for selected molecules.? Appendix L.?Collision integrals for the Lennard?Jones 6?12 potential model.? Appendix M. Some RANS-type turbulence models. Appendix N. Physical constants.? Appendix O. Unit conversions.? Appendix P.?Summary of important dimensionless numbers.? Appendix Q.?Summary of some useful heat transfer and friction factor correlations.

Reaching the Bose-Einstein Condensation of Dipolar Molecules: A Journey from Ultracold Atoms to Molecular Quantum Control (Hardcover)

Green Hydrogen : Technology, Sustainability, and Future Prospects (Hardcover)

1. Introduction to Green Hydrogen, the Hydrogen Economy, Definition and Significance of Green Hydrogen. 2.?Next-Generation Electrolysers: Innovations Driving Green Hydrogen Manufacturing. 3. Green Hydrogen Production Technologies: Pathways for Renewable Energy Integration. 4.?Green Hydrogen Production Technologies: Advances in Hydrogen Production (Emerging Technologies and Innovations. 5.?Green Hydrogen Storage: Solutions Technological Pathways, Economic Viability and Strategic Implementation for Sustainable Energy Transition. 6.?Green Hydrogen: Powering Zero-Emission Transportation in the Global Energy Transition. 7.?Future Trends in Green Hydrogen: Technological Innovations and Pathways for a Sustainable Energy Transition. 8.?The Sustainability and Environmental Impacts of Green Hydrogen. 9.?Developments in Green Hydrogen: Materials, Methods, and Emerging Applications. 10.?Green Hydrogen: Applications of Green Hydrogen. 11.Electrolysis Technologies for Green Hydrogen Production. 12.?Green Hydrogen: Technologies, Policy Frameworks, and the Evolution of the Global Hydrogen Economy.?

Passive Heat Transfer Enhancement Techniques : An Industry Approach (Hardcover)

Part I. Heat Transfer Principles and Enhancement Techniques.? 1. Fundamentals of Heat Transfer.? 2. Extended Surfaces and Fins for Thermal Management.? 3. Surface Modifications for Enhanced Transfer.? 4. Harnessing the Power of Nanofluids and Advanced Thermal Fluids.? 5. Unlocking the Potential of Phase Change Materials.? Part II. Advanced Tools, Methods, and Analytical Techniques.? 6. Statistical Tools for Geometric Optimization and Heat Transfer Enhancement with Solar Air Dryers.? 7. Machine Learning and Artificial Neural Network Applications.? 8. Passive Heat Transfer Techniques and Applications.? Part III. Industry-Specific Applications and Case Studies.? 9. Passive Cooling Strategies for Next-Generation Electronic Devices.? 10. Passive Heat Transfer Technologies for Automotive Thermal Management.? 11. Aerospace Applications for Passive Heat Transfer.? 12. Performance Enhancement of a Vertical Multi-Tube Crossflow Heat Exchanger Using Twisted Tape Inserts ? A Case Study.? 13. Machine Learning Driven Prediction of Optimal Mold Temperature for Defect-Free Injection Molding ? A Case Study.? Part IV. Building, HVAC, and Climate Control Systems.? 14. Sustainable Climate Control: Heat Transfer in Buildings and HVAC systems.? 15. Refrigeration and Thermal Management in Air Conditioning Systems.? 16. Thermal Management in Food Processing: Cooling, Freezing, and Air Dehumidification Technologies.? Part V. Challenges, Prospects, and Industrial Processes.? 17. Limitations and Challenges in Passive Heat Transfer.? 18. Intensified Heat Exchangers/Reactors in Chemical Engineering.? 19. Future Directions in Heat Transfer: Emerging Materials, Advanced Technologies, and AI-IoT Integration.??

Structural Engineering Dynamics: Proceedings of Icedyn 2025 (Paperback)

Stability Problems in Mechanics of Continua (Hardcover)

Fracture Mechanics and Adjacent Fields: Volume 2: Damage, Structures, and Applications (Hardcover)

Fracture Mechanics and Adjacent Fields: Insights from Ukrainian Research: Volume 1: Foundations and Interface Phenomena (Hardcover)