Nano and Molecular Electronics Handbook
Nano and Molecular Electronics Handbook

Author: Sergey Edward Lyshevski

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 912

ISBN-13: 1420008145

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There are fundamental and technological limits of conventional microfabrication and microelectronics. Scaling down conventional devices and attempts to develop novel topologies and architectures will soon be ineffective or unachievable at the device and system levels to ensure desired performance. Forward-looking experts continue to search for new paradigms to carry the field beyond the age of microelectronics, and molecular electronics is one of the most promising candidates. The Nano and Molecular Electronics Handbook surveys the current state of this exciting, emerging field and looks toward future developments and opportunities. Molecular and Nano Electronics Explained Explore the fundamentals of device physics, synthesis, and design of molecular processing platforms and molecular integrated circuits within three-dimensional topologies, organizations, and architectures as well as bottom-up fabrication utilizing quantum effects and unique phenomena. Technology in Progress Stay current with the latest results and practical solutions realized for nanoscale and molecular electronics as well as biomolecular electronics and memories. Learn design concepts, device-level modeling, simulation methods, and fabrication technologies used for today's applications and beyond. Reports from the Front Lines of Research Expert innovators discuss the results of cutting-edge research and provide informed and insightful commentary on where this new paradigm will lead. The Nano and Molecular Electronics Handbook ranks among the most complete and authoritative guides to the past, present, and future of this revolutionary area of theory and technology.

Molecular Electronics
Molecular Electronics

Author: F.T. Hong

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 441

ISBN-13: 146157482X

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The dream of developing a biocomputer should not be dismissed as a sheer fantasy. Although there is naturally some doubt as to whether it is possible to design a computer using carbon-based components as in living organisms, instead of silicon-based components as in existing computers, the fact that an average brain often outperforms the most sophisticated computer in terms of the complexity of tasks, if not in terms of speed, is a living testimony to this possibility. The remaining question is to what extent a biocomputer can mimic a living organism and whether it is possible to design and fabri cate such a biocomputer within the foreseeable future. This volume does not attempt to provide immediate and exact answers to these questions but instead attempts to provide a vision and a progress report of the initial efforts. This volume is mainly a collection of papers presented at the Symposium on Molecular Electronics - Biosensors and Biocomputers, sponsored by the Divi sion of Biotechnology, Health and Environment of the Fine Particle Society, held from July 19-22, 1989 at the Society's 19th Annual Meeting in Santa Clara, California. Also included are articles contributed by those who planned to attend the conference but were unable to do so. The emergence of the field of molecular electronics is largely the consequence of one person's crusade, that of Forrest L. Carter.

Theoretical Aspects Of Neurocomputing: Selected Papers From The Symposium On Neural Networks And Neurocomputing (Neuronet '90)
Theoretical Aspects Of Neurocomputing: Selected Papers From The Symposium On Neural Networks And Neurocomputing (Neuronet '90)

Author: Novak Mirko

Publisher: World Scientific

Published: 1991-03-15

Total Pages: 300

ISBN-13: 9814569208

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This book contains a selection of both full and extended contributions presented at NEURONET '90. These contributions are predominantly oriented towards the theoretical problems of neurocomputing, and involve a wide scope of aspects — from neurophysiology and cytology to theoretical problems in neural network architectures, mathematical background of neurocomputing and learning strategies.