Physics

Graphene Oxide: Physics and Applications By Jijun Zhao

Advances in Engineering Research. Volume 15

Artificial Neural Networks

Iterative Algorithms I

Towards Efficient Photovoltaic Devices: Key Facts and Experiments on Dye Sensitised Solar Cells

Graphene Oxide: Physics and Applications By Jijun Zhao

English | EPUB | 2015 | 154 Pages | ISBN : 3662448289 | 4.61 MB

This book gives a comprehensive overview of graphene oxides (GO) from atomic structures and fundamental properties to technological applications. Atomic structural models, electronic properties, mechanical properties, optical properties, and functionalizing and compositing of GO are illustrated. Moreover, the excellent physical and chemical properties offer GO promising applications in electronic nanodevices, chemical sensors and catalyst, energy storage, and biotechnology, which are also presented in this book. Therefore, this book is of interest to researchers in physics, chemistry, materials science, and nanoscience.

Advances in Engineering Research. Volume 15

Nova | English | 2017 | ISBN-10: 1536100714 | 195 pages | PDF | 5.24 mb

Editors: Victoria M. Petrova

This book focuses on the latest developments in the field of engineering. Chapter One reviews an extensive study on the design of experiment methods. Chapter Two presents controller designs using the traditional proportional integral derivative (PID) control algorithm to control a planar two-link flexible manipulator. Chapter Three presents an active vibration control (AVC) system for trailed two-wheeled implements (TTWI) avoiding instruments damage. Chapter Four reports on the kinematics of a series-parallel manipulator whose architecture is based on the topology of the 3RPS tangential parallel manipulator where R, P and S stand, respectively, for Revolute, Prismatic and Spherical joints. Chapter Five discusses the estimation of saturated hydraulic conductivity. Chapter Six proposes a new and robust model to predict the dynamical behavior of the Liquid Diffusion Phenomenon (LDP).

Artificial Neural Networks

Nova | English | 2017 | ISBN-10: 1634859642 | 229 Pages | PDF | 9.62 mb

by Gayle Cain (Contributor)

This current book provides new research on artificial neural networks (ANNs). Topics discussed include the application of ANNs in chemistry and chemical engineering fields; the application of ANNs in the prediction of biodiesel fuel properties from fatty acid constituents; the use of ANNs for solar radiation estimation; the use of in silico methods to design and evaluate skin UV filters; a practical model based on the multilayer perceptron neural network (MLP) approach to predict the milling tool flank wear in a regular cut, as well as entry cut and exit cut, of a milling tool; parameter extraction of small-signal and noise models of microwave transistors based on ANNs; and the application of ANNs to deep-learning and predictive analysis in semantic TCM telemedicine systems

Iterative Algorithms I

Nova | English | 2017 | ISBN-10: 1634854063 | 429 pages | PDF | 3.13 mb

by Ioannis K Argyros (Author)

It is a well-known fact that iterative methods have been studied concerning problems where mathematicians cannot find a solution in a closed form. There exist methods with different behaviors when they are applied to different functions and methods with higher order of convergence, methods with great zones of convergence, methods which do not require the evaluation of any derivative, and optimal methods among others. It should come as no surprise, therefore, that researchers are developing new iterative methods frequently.

Once these iterative methods appear, several researchers study them in different terms: convergence conditions, real dynamics, complex dynamics, optimal order of convergence, etc. These phenomena motivated the authors to study the most used and classical ones, for example Newton’s method, Halley¡¯s method and/or its derivative-free alternatives.

Related to the convergence of iterative methods, the most well-known conditions are the ones created by Kantorovich, who developed a theory which has allowed many researchers to continue and experiment with these conditions. Many authors in recent years have studied modifications of these conditions related, for example, to centered conditions, omega-conditions and even convergence in Hilbert spaces.

In this monograph, the authors present their complete work done in the past decade in analyzing convergence and dynamics of iterative methods. It is the natural outgrowth of their related publications in these areas. Chapters are self-contained and can be read independently. Moreover, an extensive list of references is given in each chapter in order to allow the reader to use the previous ideas. For these reasons, the authors think that several advanced courses can be taught using this book.

The book’s results are expected to help find applications in many areas of applied mathematics, engineering, computer science and real problems. As such, this monograph is suitable to researchers, graduate students and seminar instructors in the above subjects. The authors believe it would also make an excellent addition to all science and engineering libraries.

Towards Efficient Photovoltaic Devices: Key Facts and Experiments on Dye Sensitised Solar Cells

Cambridge | English | 2017 | ISBN-10: 1443851906 | 140 pages | PDF | 3.56 mb

by Codrin Alexandru Andrei (Author)

Fossil fuels are limited resources and are anticipated to be exhausted within the next few decades. Solar energy is the only renewable resource capable of adequately meeting todays total global energy demand.

Dye-sensitised solar cells (DSCs) represent a novel class of photovoltaic devices that mimic natures photosynthesis process. This book focuses on the possibilities of optimising the dye-sensitised solar cells efficiency, and also presents the historical background of DSCs, their efficiency timeline, key components, and the principle of operation. Some powerful nanotechnology tools and methods used to investigate and enhance this type of solar cell are also presented in detail.

The methods and findings detailed here combine both experimental and computational studies. They pave the way towards enhancing the efficiency of dye-sensitised solar cells.