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McCrum N: Principles of Polymer
Engineering

Principles of Polymer Engineering

Third Edition

How They Established Current Practice

A History of Forensic Science in 10 Publications

Studies in Natural Products Chemistry

Natural products in the plant and animal kingdom offer a huge diversity of chemical structures that are the result of biosynthetic processes that have been modulated over the millennia through genetic effects. With the rapid developments in spectroscopic techniques and accompanying advances in high-throughput screening techniques, it has become possible to isolate and then determine the structures and biological activity of natural products rapidly, thus opening up exciting opportunities in the field of new drug development to the pharmaceutical industry. Studies in Natural Products Chemistry covers the synthesis or testing and recording of the medicinal properties of natural products, providing cutting edge accounts of the fascinating developments in the isolation, structure elucidation, synthesis, biosynthesis and pharmacology of a diverse array of bioactive natural products.

Studies in Natural Products Chemistry: Volume 88

Expert reference on building surrogate models, optimization using them, prediction uncertainty associate with them, and their potential failure, with practical implementation in MATLAB Surrogate Modeling and Optimization explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions and helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and/or uncertainty quantification. The book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. The book is divided into 10 chapters. Each chapter contains about 10 examples and 20 exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. Sample topics discussed in Surrogate Modeling and Optimization include: <ul> <li>Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design space</li> <li>Criteria for constrained and unconstrained optimization and the most important optimization theories</li> <li>Various numerical algorithms for gradient-based optimization</li> <li>Gradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian information</li> <li>Detailed explanations and implementation on Kriging surrogate, often referred to as Gaussian Process, especially when samples include noise</li> <li>The combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracy</li> <li>Neural network models, focusing on training uncertainty and its effect on prediction uncertainty</li> <li>Efficient global optimization using either polynomial response surfaces or Kriging surrofates</li> </ul> Surrogate Modeling and Optimization is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply the surrogate model to solve their optimization problems.

Theories, Applications, and Limitations

Surrogate Modeling and Optimization

Principles of Modern Grinding Technology

Fundamentals and Technologies

Grinding of Single-Crystal Superalloys

Build the microchips of the future with this revolutionary new information transfer technology Advancements in high-performance computing have continually demanded for progresses in disruptive technological research and innovations. Moore's Law has pushed the Very Large Scale Integration (VLSI) technology to pack MOS devices inside a chip at an exponential rate, thereby surpassing now eight billion transistors per cm2. This has concomitantly fueled the growth of multilayered on-chip interconnects comprising metallic and low dielectric materials. VLSI Interconnect Technology with Artificial Plasmonics introduces a new method for improving chip performance by harnessing the power of information transfer among chips at terahertz frequency. This revolutionary new electromagnetic wave engineering, called a spoof surface plasmon polariton, adapts the principles of VLSI and terahertz interconnect technology along with the artificial plasmonics to transfer huge quantities of data at vastly improved speeds. It constitutes a potentially decisive contribution to the pursuit of faster and more capacious VLSI chips. In VLSI Interconnect Technology with Artificial Plasmonics, readers will also find: <ul> <li>A cutting-edge new approach supported by pioneering research</li> <li>Detailed discussion of essential components related to the development of THz interconnect technology, including theory, modeling, simulation, and validation</li> <li>Roadmap to future technological development in the branch of artificial plasmonics</li> </ul> VLSI Interconnect Technology with Artificial Plasmonics is ideal for engineers, researchers, and scientists working in electronics, electromagnetics, and optics.

Bridging the Gap between Electronics and Optics

VLSI Interconnect Technology with Artificial Plasmonics

Woodhead Publishing Series in Civil and Structural Engineering

Emerging Concepts and Technologies

Net Zero Transition in Buildings

Estimation and Attenuation

Perturbations in Mechatronic, Energy, and Robotic Systems

Design for Healing Spaces

Therapeutic Gardens

Fundamentals of Biology 1

From Molecules to the Biochemistry of Cells

This book analyses Artificial Intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco-friendly AI, navigating legal frameworks, and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real-world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future. This comprehensive study of AI begins by looking at AI's role in environmental sustainability, providing actionable strategies for eco-friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimize its footprint and promote AI solutions that contribute to environmental goals. The authors extend into insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real-world case studies, the reader gains practical understanding of how AI is being used in different contexts. This further enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal objectives.The primary audience for this book includes business leaders, professionals, policymakers, technologists and AI practitioners.

The Blueprint for AI Adoption and Societal Transformation

Principles of Polymer Engineering

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