2 edition of Multiscale problems in the life sciences found in the catalog.
Multiscale problems in the life sciences
Includes bibliographical references and index.
|Statement||Jacek Banasiak ... [et al.] ; editors, Vincenzo Capasso, Mirosław Lachowicz.|
|Series||Lecture notes in mathematics -- 1940|
|Contributions||Banasiak, J., Capasso, Vincenzo, 1945-, Lachowicz, Mirosław.|
|LC Classifications||QA274 .M85 2008|
|The Physical Object|
|Pagination||xii, 321 :|
|Number of Pages||321|
|ISBN 10||9783540783602, 9783540783626|
|LC Control Number||2008921566|
"Physical phenomena can be modeled at varying degrees of complexity and at different scales. Multiscale modeling provides a framework, based on fundamental principles, for constructing mathematical and computational models of such phenomena by examining the connection between models at different scales. This book, by one of the leading contributors to the field, is the first to provide a. To execute multiscale modeling in mechanics often requires explicit multiscale methods. Our research often uses “sequential” or “hierarchical” models, wherein information is “passed” from one scale to the next, using appropriate theories or parameters at each scale.
Ubiquitous and fundamental in cell mechanics, multiscale problems can arise in the growth of tumors, embryogenesis, tissue engineering, and more. Cell Mechanics: From Single Scale-Based Models to Multiscale Modeling brings together new insight and research on mechanical, mathematical, physical, and biological approaches for simulating the. Since the beginning of the rubber and plastics industries, an essential requirement has been that the materials and the products are tested for quality control, to establish their fitness for purpose and to provide design data. 50 Years of Polymer Testing gives a unique personal account of the developments in the technology of physical testing of polymers and of the changes in the working.
springer, Tearing and interconnecting methods, such as FETI, FETI-DP, BETI, etc., are among the most successful domain decomposition solvers for partial differential equations. The purpose of this book is to give a detailed and self-contained presentation of these methods, including the corresponding algorithms as well as a rigorous convergence theory. Computational multiscale analyses are currently ubiquitous in science and technology. Different problems of interest—e.g., mechanical, fluid, thermal, or electromagnetic—involving a domain with two or more clearly distinguished spatial or temporal scales, are candidates to be solved by using this technique. Moreover, the predictable capability and potential of multiscale analysis may Cited by: 1.
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Multiscale Problems in the Life Sciences From Microscopic to Macroscopic. Authors: Banasiak, J., Capasso, V for solving classes of problems of the same nature. Today more than ever, one of the most important challenges derives from the need to bridge parts of a system evolving at different time and space scales, especially with respect to.
Multiscale Problems in the Life Sciences From Microscopic to Macroscopic. Authors (view affiliations) Jacek Banasiak; providing a mathematical framework for the development of a hierarchy of models of complex systems in the natural sciences, with a special attention to Biology and Medicine.
for solving classes of problems of the same. Multiscale Problems in the Life Sciences Jacek Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them.
Free ebooks since [email protected] FAQ Blog. Get this from a library. Multiscale problems in the life sciences: from microscopic to macroscopic ; lectures given at the Banach Center and CIME joint summer school held in Bȩdlewo, Poland, September[Jacek Banasiak; Vincenzo Capasso; Międzynarodowe Centrum.
engineering problems. This is true not just for the true ﬁrst principle, the quantum many-body problem, but also for other microscopic models such as molecular dynamics. This is where multiscale modeling comes in. By considering simultaneously models at diﬀerent scales, we hope to arrive at an approach that shares the eﬃciency of the macro.
Get this from a library. Multiscale Problems in the Life Sciences: From Microscopic to Macroscopic. [Jacek Banasiak; Mark A J Chaplain; Jacek Miękisz; Vincenzo Capasso; Mirosław Lachowicz] -- The aim of this volume that presents Lectures given at a joint CIME and Banach Center Summer School, is to offer a broad presentation of a class of updated methods providing a mathematical framework.
Multiscale problems in the life sciences. From microscopic to macroscopic. Lectures given at the Banach Center and C.I.M.E. joint summer school held in Bȩdlewo, Poland, September 4–9, Other applications concern the modeling of new composites (electromagnetic and piezoelectric materials) and imperfect transmission problems.
A detailed approach of. The book begins with a detailed introduction to the theories on which different multiscale approaches are based, with regards to linear Homogenisation as well as various nonlinear approaches. It then presents advanced applications of multiscale approaches applied to nonlinear mechanical problems.
Submission deadline: February 11th (Final Extension) Introduction. Modelling and simulation of multiscale systems constitutes a grand challenge in computational science, and is widely applied in fields ranging from the physical sciences and engineering to the life science and the socio-economic domain.
Multiscale Approaches to Protein Modeling is a comprehensive review of the most advanced multiscale methods for protein structure prediction, computational studies of protein dynamics, folding mechanisms and macromolecular interactions.
various sampling techniques and variety of applications to biomedical and biophysical problems. Thanks to Author: Andrzej Kolinski.
Multiscale Modeling and Simulation (MMS) is a journal focused on nurturing the growth and development of systematic modeling and simulation approaches for multiscale problems.
MMS is a interdisciplinary journal that is centered on the fundamental modeling and computational principles underlying various multiscale methods. Learn more about MMS. springer, The 91st London Mathematical Society Durham Symposium took place from July 5th to 15thwith more than international participants attending.
The Symposium focused on Numerical Analysis of Multiscale Problems and this book contains 10 invited articles from some of the meeting's key speakers, covering a range of topics of contemporary interest in this area.
Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area.
MMS bridges the growing gap in communication between mathematics, chemistry, physics, engineering, computer science, environmental science, and more. Buy GPU Solutions to Multi-scale Problems in Science and Engineering (Lecture Notes in Earth System Sciences) on FREE SHIPPING on qualified orders GPU Solutions to Multi-scale Problems in Science and Engineering (Lecture Notes in Earth System Sciences): Yuen, David A., Wang, Long, Chi, Xuebin, Johnsson, Lennart, Ge, Wei, Shi, Yaolin Format: Hardcover.
In the fast few decades, mathematical problems originating from material science and biology have stimulated significant developments in the modeling, analysis and simulation of multiscale systems. This workshop will focus on mathematical challenges in modeling, nonlinear analysis of PDEs, calculus of variations, and computational methods that.
Most of the fundamental problems in physics, chemistry and engineering involve computation too hard even for future supercomputers, if conventional mathematical approaches are used.
The reason is always a product of several complexity factors associated with the wide range of space and time scales characteristic to such by: Multiscale Finite Element Modeling of Nonlinear Magnetoquasistatic Problems using Magnetic Induction Conforming Formulations I. Niyonzima, R. Sabariego, P.
Dular, K. Jacques, and C. Geuzaine. With a view towards applications in the life sciences, we discuss the state of the art of combining machine learning and multiscale modeling, identify applications and opportunities, raise open. In this work, we make an attempt to answer the question of what a multiscale problem is in Molecular Dynamics (MD), or, more in general, in Molecular Simulation (MS).
By introducing the criterion of separability of scales, we identify three major (reference) categories of multiscale problems and discuss their corresponding computational strategies by making explicit examples of by:.
problems to explain large data sets [Raissi et al., ]. Today, multiscale simulations in the biological, biomedical, and behavioral sciences seek to infer the behavior of the system, assuming that we have access to massive amounts of data, Figure 1. Machine learning and multiscale modeling in the biological, biomedical, and behavioral Cited by: 9.
LNS Research’s recent survey reveals some interesting data on this topic. We asked two separate questions specifically to life sciences executives and senior leaders regarding the top trends affecting their operations, as well as the top challenges in seamlessly getting products from R&D to the patient or customer.
The book introduces the properties and organization of extracellular matrix components and quantitative models of the matrix, and guides the reader through predicting functional properties. This book integrates evolutionary biology with multiscale structure to quantitatively understand the function of the extracellular Edition: 1.