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Modern membrane science and technology aids engineers in developing and designing more efficient and environmentally-friendly processes. The optimal material and membrane selection as well as applications in the many involved industries are provided. This work is the ideal introduction for engineers working in membrane science and applications (wastewater, desalination, adsorption, and catalysis), process engineers in separation science, biologists and biochemists, environmental scientists, and most of all students. Its multidisciplinary approach also stimulates thinking of hybrid technologies for current and future life-saving applications (artificial organs, drug delivery).

The book introduces fundamental principles, phase structure, mechanism, mechanical properties, and different types of multicomponent polymers. Rheological properties, graft copolymers, block copolymers and interpenetrating polymer networks are discussed in detail as well. With abundant illustrations, it is an essential reference for polymer chemists, material scientists and graduate students.

The amount of new information is constantly increasing, faster than our ability to fully interpret and utilize it to improve human experiences. Addressing this asymmetry requires novel and revolutionary scientific methods and effective human and artificial intelligence interfaces. By lifting the concept of time from a positive real number to a 2D complex time (kime), this book uncovers a connection between artificial intelligence (AI), data science, and quantum mechanics. It proposes a new mathematical foundation for data science based on raising the 4D spacetime to a higher dimension where longitudinal data (e.g., time-series) are represented as manifolds (e.g., kime-surfaces). This new framework enables the development of innovative data science analytical methods for model-based and model-free scientific inference, derived computed phenotyping, and statistical forecasting. The book provides a transdisciplinary bridge and a pragmatic mechanism to translate quantum mechanical principles, such as particles and wavefunctions, into data science concepts, such as datum and inference-functions. It includes many open mathematical problems that still need to be solved, technological challenges that need to be tackled, and computational statistics algorithms that have to be fully developed and validated. Spacekime analytics provide mechanisms to effectively handle, process, and interpret large, heterogeneous, and continuously-tracked digital information from multiple sources. The authors propose computational methods, probability model-based techniques, and analytical strategies to estimate, approximate, or simulate the complex time phases (kime directions). This allows transforming time-varying data, such as time-series observations, into higher-dimensional manifolds representing complex-valued and kime-indexed surfaces (kime-surfaces). The book includes many illustrations of model-based and model-free spacekime analytic techniques applied to economic forecasting, identification of functional brain activation, and high-dimensional cohort phenotyping. Specific case-study examples include unsupervised clustering using the Michigan Consumer Sentiment Index (MCSI), model-based inference using functional magnetic resonance imaging (fMRI) data, and model-free inference using the UK Biobank data archive. The material includes mathematical, inferential, computational, and philosophical topics such as Heisenberg uncertainty principle and alternative approaches to large sample theory, where a few spacetime observations can be amplified by a series of derived, estimated, or simulated kime-phases. The authors extend Newton-Leibniz calculus of integration and differentiation to the spacekime manifold and discuss possible solutions to some of the "problems of time". The coverage also includes 5D spacekime formulations of classical 4D spacetime mathematical equations describing natural laws of physics, as well as, statistical articulation of spacekime analytics in a Bayesian inference framework. The steady increase of the volume and complexity of observed and recorded digital information drives the urgent need to develop novel data analytical strategies. Spacekime analytics represents one new data-analytic approach, which provides a mechanism to understand compound phenomena that are observed as multiplex longitudinal processes and computationally tracked by proxy measures. This book may be of interest to academic scholars, graduate students, postdoctoral fellows, artificial intelligence and machine learning engineers, biostatisticians, econometricians, and data analysts. Some of the material may also resonate with philosophers, futurists, astrophysicists, space industry technicians, biomedical researchers, health practitioners, and the general public.

The book systematically presents fundamental principles, properties, implementation methodologies, technologies and applications of polymer synthesis. Ring opening metathesis polymerization, click chemistry, macromolecular self-assembly, carbon nanomaterials and their modification with polymers are discussed in detail. With abundant illustrations, it is an essential reference for polymer chemists, material scientists, and graduate students.

This book introduces the basics of light scattering and then presents theoretical methods and applications of elastic light scattering spectrometry in the field of analytical chemistry. Different elastic light scattering probes and how to use elastic light scattering probes for the analysis of inorganic ions, organic molecules, nucleic acids, proteins, biological microparticles, water and the atmospheric environment are discussed in detail.

Intensified processes have found widespread application in the chemical and petrochemical industries. The use of intensified systems allows for a reduction of operating costs and supports the "greening" of chemical processes. However, the design of intensified equipment requires special methodologies. This book describes the fundamentals and applications of these design methods, making it a valuable resource for use in both industry and academia.

Rubber materials serve a variety of purposes in our everyday life. This book gives a complete survey of the life cycle of rubber materials starting from the basics and covering everything to recycling of rubber. The important aspects for researchers and engineers in rubber industry such as vulcanization, thermoplastic elastomers, additives and fillers and rubber bonding is covered in one chapter each.

Rubber analysis plays a vital part in ensuring that manufactured products are fit for purpose. This comprehensive, application-based book with up-to-date referencing covers all important applications and subject area associated with the analysis of rubber compounds and rubber products. Includes characterization of rubber polymers, rubber fumes, identification of extractables and leachables, as well as reverse engineering on compounded products.

The book covers the most recent scientific literature in chemical enhanced oil recovery. After introducing the subject of EOR, detailed advances in polymer flooding are presented, and is exemplified in terms of both experimental work and mathematical simulations. Also, employing the emerging technique of nanotechnology to boost the performance of existing chemical enhanced oil recovery processes is described.

The author illustrates why the rather weak hydrogen bond is so essential for our everyday life in a lively and entertaining way. The chemical and physical fundamentals are explained with examples ranging from the nature of water over the secret of DNA to adhesives and modern detergents. The interdisciplinary science is easy to understand and hence a great introduction for chemists, biologists and physicists.

Algorithms are the essence of programming. After their construction, they have to be translated to the codes of a specific programming language. There exists a maximum of ten basic algorithmic templates. This textbook aims to provide the reader with a more convenient and efficient method to create a program by translating algorithms, template by template with C++ and Java. This is the slogan of the book: You will be a professional programmer whenever you become a skilled algorithm designer. This book attempts to gradually strengthen the readers¿ ability to identify and analyze the mental commands which are issued and implemented in their brains for solving the problems in which mathematical computations are applied and try to design an algorithm based on their understanding and analyses. It then seeks to encourage the readers to develop their skills in algorithm-writing for computational problems and synchronously teach them to translate the algorithms into C++ and Java codes using the least necessary keywords.

Vol. 1 of Chemoinformatics of Natural Products presents an overview of natural products chemistry, discussing the chemical space of naturally occurring compounds, followed by an overview of computational methods.

The combustion properties of organic materials are used to assess their safety specifications. This knowledge is necessary to avoid potentially disastrous fires. The experimental determination of the combustion properties of a new organic compound is laborious and sometimes even impossible. This book describes methods for the determination and prediction of the combustion properties of organic compounds, along with some examples and exercises.

With a focus on portland cement, the book systematically illustrates the composition, properties, and applications of different kinds of cementitious materials, and presents their reaction during the hydration and hardening process. The production technique and applied technology are also discussed with examples. Exercises are added in each chapter, making the work an essential textbook for students.

Industrial Biotechnology summarizes different aspects of plant biotechnology such as using plants as sustainable resources, phytomedical applications, phytoremedation and genetic engineering of plant systems. These topics are discussed from an academic as well industrial perspective and thus highlight recent developments but also practical aspects of modern biotechnology.

The conversion of CO2 to chemicals and consumables is a pioneering approach to utilize undesired CO2 emissions and simultaneously create new products out of sustainable feedstock. Volume 1 gives an introduction to CO2 chemistry, utilisation and sustainability and further discusses its capture and separation. Both volumes are also included in a set ISBN 978-3-11-066549-9.

The last two decades have seen electrospinning of nanofibers performed mainly from solutions of toxic organic solvents. The increase in demand for scaling up electrospinning in recent years therefore requires an environmentally friendly process free of organic solvents. This book addresses techniques for clean and safe electrospinning in the fabrication of green nanofibers and their potential applications.

The study of membranes has become of high importance in the fields of biology, pharmaceutical chemistry and medicine, since much of what happens in a cell or in a virus involves biological membranes. The current book is an excellent introduction to the area, which explains how modern analytical methods can be applied to study biological membranes and membrane proteins and the bioprocesses they are involved to.