Mathematical Modeling in Chemistry
Mathematical Modeling in Chemistry

Author: Paul G. Mezey

Publisher: Wiley-VCH

Published: 1991

Total Pages: 386

ISBN-13: 9783527282920

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What do molecules look like and how do they change their shape in chemical reactions? The answers to such questions are elucidated in this book, which gives a comprehensive and topical overview of mathematical modeling in chemistry. In 21 chapters leading research groups describe recent progress in stereochemistry and shape analysis reactivity and reaction modeling chemical properties and QSAR algorithmic approaches. Their collective experience will enable the reader to implement the latest mathematical models to analyze molecular properties and chemical reactions.

Linear Mathematical Models In Chemical Engineering (Second Edition)
Linear Mathematical Models In Chemical Engineering (Second Edition)

Author: Martin Aksel Hjortso

Publisher: World Scientific

Published: 2018-07-13

Total Pages: 640

ISBN-13: 9813270896

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Mathematics remains a core area of engineering. Formulating and analyzing mathematical models of basic engineering systems is an essential skill that all engineering students should endeavor to acquire.This book will serve as an excellent introduction to linear mathematics for engineering students, both seniors and graduate students. It is the result of a collaboration between a chemical engineer and a mathematician, both of whom have taught classes on modelling and applied mathematics. It provides a broad collection of chemical engineering modelling examples to train students in model formulation and model simplification as well as give a thorough coverage of the mathematical tools used to analyze and solve linear chemical engineering models.Solution manual is provided for free to instructors who adopt this textbook. Please send your request to [email protected].

Stochastic Chemical Reaction Systems in Biology
Stochastic Chemical Reaction Systems in Biology

Author: Hong Qian

Publisher: Springer Nature

Published: 2021-10-18

Total Pages: 364

ISBN-13: 3030862526

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This book provides an introduction to the analysis of stochastic dynamic models in biology and medicine. The main aim is to offer a coherent set of probabilistic techniques and mathematical tools which can be used for the simulation and analysis of various biological phenomena. These tools are illustrated on a number of examples. For each example, the biological background is described, and mathematical models are developed following a unified set of principles. These models are then analyzed and, finally, the biological implications of the mathematical results are interpreted. The biological topics covered include gene expression, biochemistry, cellular regulation, and cancer biology. The book will be accessible to graduate students who have a strong background in differential equations, the theory of nonlinear dynamical systems, Markovian stochastic processes, and both discrete and continuous state spaces, and who are familiar with the basic concepts of probability theory.

Biomedical Mass Transport and Chemical Reaction
Biomedical Mass Transport and Chemical Reaction

Author: James S. Ultman

Publisher: John Wiley & Sons

Published: 2016-06-13

Total Pages: 654

ISBN-13: 0471656321

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Teaches the fundamentals of mass transport with a unique approach emphasizing engineering principles in a biomedical environment Includes a basic review of physiology, chemical thermodynamics, chemical kinetics, mass transport, fluid mechanics and relevant mathematical methods Teaches engineering principles and mathematical modelling useful in the broad range of problems that students will encounter in their academic programs as well as later on in their careers Illustrates principles with examples taken from physiology and medicine or with design problems involving biomedical devices Stresses the simplification of problem formulations based on key geometric and functional features that permit practical analyses of biomedical applications Offers a web site of homework problems associated with each chapter and solutions available to instructors Homework problems related to each chapter are available from a supplementary website (

Mathematical Modeling in Chemical Engineering
Mathematical Modeling in Chemical Engineering

Author: Anders Rasmuson

Publisher: Cambridge University Press

Published: 2014-03-20

Total Pages: 195

ISBN-13: 1107049695

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A solid introduction, enabling the reader to successfully formulate, construct, simplify, evaluate and use mathematical models in chemical engineering.

Modeling of Chemical Kinetics and Reactor Design
Modeling of Chemical Kinetics and Reactor Design

Author: A. Kayode Coker

Publisher: Gulf Professional Publishing

Published: 2001-07-26

Total Pages: 1132

ISBN-13: 9780884154815

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This reference conveys a basic understanding of chemical reactor design methodologies that incorporate both control and hazard analysis. It demonstrates how to select the best reactor for any particular chemical reaction, and how to estimate its size to determine the best operating conditions.

Conservation Equations And Modeling Of Chemical And Biochemical Processes
Conservation Equations And Modeling Of Chemical And Biochemical Processes

Author: Said S.E.H. Elnashaie

Publisher: CRC Press

Published: 2003-03-26

Total Pages: 672

ISBN-13: 9780203911501

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Presenting strategies in control policies, this text uses a systems theory approach to predict, simulate and streamline plant operation, conserve fuel and resources, and increase workplace safety in the manufacturing, chemical, petrochemical, petroleum, biochemical and energy industries. Topics of discussion include system theory and chemical/biochemical engineering systems, steady state, unsteady state, and thermodynamic equilibrium, modeling of systems, fundamental laws governing the processes in terms of the state variables, different classifications of physical models, the story of chemical engineering in relation to system theory and mathematical modeling, overall heat balance with single and multiple chemical reactions and single and multiple reactions.