Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms formally introduces and defines this area of research, presents its main challenges in electronic design, and explores emerging technologies.
It describes the evolutionary computation paradigm and its primary algorithms, and explores topics of current interest, such as multi-objective optimization. The authors examine numerous evolutionary electronics applications, draw conclusions about those applications, and sketch the future of evolutionary computation and its applications in electronics.
In coming years, the appearance of more and more advanced technologies will increase the complexity of optimization and synthesis problems, and evolutionary electronics will almost certainly become a key to solving those problems. Evolutionary Electronics is your key to discovering and unlocking the potential of this promising new field.
It shows what techniques are pertinent for particular problems in biotechnology and nanotechnology and provides a balanced treatment of topics that teach strengths and weaknesses, appropriate and inappropriate methods.
The field of molecular and nano-electronics has driven solutions for a post microelectronics era, where microelectronics dominate through the use of silicon as the preferred material and photo-lithography as the fabrication technique to build binary devices transistors. The construction of such devices yields gates that are able to perform Boolean operations and can be combined with computational systems, capable of storing, processing, and transmitting digital signals encoded as electron currents and charges.
Since the invention of the integrated circuits, microelectronics has reached increasing performances by decreasing strategically the size of its devices and systems, an approach known as scaling-down, which simultaneously allow the devices to operate at higher speeds.
Computational Electronics Author : Dragica Vasileska Publisher : Unknown Release Date : Genre: Electronic books Pages : ISBN 10 : GET BOOK Computational Electronics Book Description : Starting with the simplest semiclassical approaches and ending with the description of complex fully quantum-mechanical methods for quantum transport analysis of state-of-the-art devices, Computational Electronics: Semiclassical and Quantum Device Modeling and Simulation provides a comprehensive overview of the essential techniques and methods for effectively analyzing transport in semiconductor devices.
With the transistor reaching its limits and new device designs and paradigms of operation being explored, this timely resource delivers the simulation methods needed to properly model state-of.
The book presents peer-reviewed papers that highlight new theoretical and experimental findings in the fields of electronics and communication engineering, including interdisciplinary areas like Advanced Computing, Pattern Recognition and Analysis, and Signal and Image Processing.
The respective papers cover a broad range of principles, techniques and applications in microwave devices, communication and networking, signal and image processing, computations and mathematics, and control.
They also address emerging technologies in electronics and communication, together with the latest practices, issues and trends.
Popular Books. End of Days by Brad Taylor. Buchanan, W. Chen, D. ISBNX Spectral Interpretation of Decision Diagrams. Stankovic, R. Astola, and C. Moraga Representation of Multiple-Valued Logic Functions. Computational Single - Electronics. However, there are some limitations in Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented.
Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists, information technologists, biomedical engineers, data-processing specialists, and medical physicists interested in signal processing within medical systems and facilities.
Gallium Arsenide is one candidate … Expand. View 4 excerpts, cites background and methods. The Monte Carlo method for semiconductor device simulation. View 2 excerpts, references background and methods. Physics, Materials Science.
Publisher Summary This chapter reflects the growing emphasis on the use of numerical solution by computer, in the theory of electron transport phenomena in solids. In most cases of interest, the … Expand.
Computer-aided two-dimensional analysis of bipolar transistors. A method for solving numerically the two-dimensional 2D semiconductor steady-state transport equations is described. The principles of this method have been published earlier [1]. This paper … Expand. Highly Influential. View 3 excerpts, references background. An accurate numerical steady-state one-dimensional solution of the P-N junction.
Abstract A numerical method of solution of the fundamental semiconductor steady-state one-dimensional transport equations, already available in the literature, is improved and extended, and is … Expand. View 1 excerpt, references background. The Monte Carlo method for the solution of charge transport in semiconductors with applications to covalent materials.
This review presents in a comprehensive and tutorial form the basic principles of the Monte Carlo method, as applied to the solution of transport problems in semiconductors. Sufficient details of a … Expand. An investigation of steady-state velocity overshoot in silicon. Abstract Electron dynamics in silicon is investigated by means of improved momentum- and energy-balance equations including particle diffusion and heat flux.
The resulting system of partial … Expand. Rigorous thermodynamic treatment of heat generation and conduction in semiconductor device modeling.
Physics, Computer Science. IEEE Trans.
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