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Quantum efficiency in complex systems: From molecular aggregates to organic solar cells, Uli Wurfel


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Автор: Uli Wurfel   (Ули Вурфель)
Название:  Quantum efficiency in complex systems: From molecular aggregates to organic solar cells   (Ули Вурфель: Квантовая эффективность в сложных системах, часть II. Из молекулярного серебра)
Издательство: Elsevier Science
Классификация:
ISBN: 0123910609
ISBN-13(EAN): 9780123910608
Обложка/Формат: Hardback
Страницы: 388
Вес: 0.65 кг.
Дата издания: 23.12.2011
Серия: Semiconductors and semimetals
Язык: English
Размер: 231 x 155 x 25
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Описание: Reflecting the interdisciplinary nature of Quantum Efficiency in Complex Systems, this title is of interest to physicists, chemists, materials scientists, and device engineers in academia, scientific laboratories and modern industry.

Quantum Efficiency in Complex Systems, Part I,83

Автор: Eicke R. Weber
Название: Quantum Efficiency in Complex Systems, Part I,83
ISBN: 0123750423 ISBN-13(EAN): 9780123750426
Издательство: Elsevier Science
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Описание: Reflecting the truly interdisciplinary nature of the field of semiconductor materials, this title is suitable for physicists, chemists, materials scientists, and device engineers in modern industry.

Complex Systems in Biomedicine

Автор: Quarteroni
Название: Complex Systems in Biomedicine
ISBN: 8847003946 ISBN-13(EAN): 9788847003941
Издательство: Springer
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Цена: 105390 T
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Описание: Mathematical modeling of human physiopathology is a tremendously ambitious task. It encompasses the modeling of most diverse compartments such as the cardiovascular, respiratory, skeletal and nervous systems, as well as the mechanical and biochemical interaction between blood flow and arterial walls, or electrocardiac processes and the electric conduction into biological tissues. Mathematical models can be set up to simulate both vasculogenesis (the aggregation and organisation of endothelial cells dispersed in a given environment) and angiogenesis (the formation of new vessels sprouting from an existing vessel) that are relevant to the formation of vascular networks, and in particular to the description of tumor growth. The integration of models aimed at simulating the cooperation and interrelation of different systems is an even more difficult task. It calls for the set up of, for instance, interaction models for the integrated cardio-vascular system and the interplay between central circulation and peripheral compartments, models for the mid-long range cardiovascular adjustments to pathological conditions (e.g. to account for surgical interventions, congenital malformations, or tumor growth), models for the integration among circulation, tissue perfusion, biochemical and thermal regulation, models for parameter identification and sensitivity analysis to parameter changes or data uncertainty – and many others. The heart is a complex system in itself, where electrical phenomena are functionally related with the wall deformation. In its turn, electrical activity is related with heart physiology. It involves nonlinear reaction-diffusion processes and provides the activation stimulus to the heart dynamics and eventually the blood ventricular flow that drives the haemodynamics of the whole circulatory system. In fact, the influence is reciprocal, since the circulatory system in turns affects the heart dynamics and may induce an overload depending upon the individual physiopathologies ( for instance the presence of a stenotic artery or a vascular prosthesis).Virtually, all the fields of mathematics have a role to play in this context. Geometry and approximation theory provide the tools for handling clinical data acquired by tomography or magnetic resonance, identifying meaningful geometrical patterns and producing three-dimensional geometrical models stemming from the original patients data. Mathematical analysis, flow and solid dynamics, stochastic analysis are used to set up the differential models and predict uncertainty. Numerical analysis and high performance computing are needed to numerically solve the complex differential models. Finally, methods from stochastic and statistical analysis are exploited for the modeling and interpretation of space-time patterns. Indeed, the complexity of the problems at hand often stimulates the use of innovative mathematical techniques that are able, for instance, to accurately catch those processes that occur at multiple scales in time and space (like cellular and systemic effects), and that are governed by heterogeneous physical laws.

Control of Complex Systems

Автор: Astrom, K.J.
Название: Control of Complex Systems
ISBN: 1852333243 ISBN-13(EAN): 9781852333249
Издательство: Springer
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Цена: 128890 T
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Описание: The world of artificial systems is reaching complexity levels that es- cape human understanding. ESF covers has standing committees in Medical Sci- ences, Life and Environmental Sciences, Physical and Engineering Sci- ences, Humanities and Social Sciences.


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