By Mary Mehrnoosh Eshaghian-Wilner
Brings the most recent advances in nanotechnology and biology to computingThis pioneering ebook demonstrates how nanotechnology can create even swifter, denser computing architectures and algorithms. moreover, it attracts from the newest advances in biology with a spotlight on bio-inspired computing on the nanoscale, bringing to gentle a number of new and leading edge purposes similar to nanoscale implantable biomedical units and neural networks.Bio-Inspired and Nanoscale built-in Computing positive aspects knowledgeable staff of interdisciplinary authors who supply readers the good thing about their very own breakthroughs in built-in computing in addition to a radical research and analyses of the literature. rigorously edited, the ebook starts with an introductory bankruptcy offering a common review of the sector. It ends with a bankruptcy environment forth the typical issues that tie the chapters jointly in addition to a forecast of rising avenues of research.Among the $64000 issues addressed within the ebook are modeling of nano units, quantum computing, quantum dot mobile automata, dielectrophoretic reconfigurable nano architectures, multilevel and 3-dimensional nanomagnetic recording, spin-wave architectures and algorithms, fault-tolerant nanocomputing, molecular computing, self-assembly of supramolecular nanostructures, DNA nanotechnology and computing, nanoscale DNA series matching, clinical nanorobotics, heterogeneous nanostructures for biomedical diagnostics, biomimetic cortical nanocircuits, bio-applications of carbon nanotubes, and nanoscale picture processing.Readers in electric engineering, desktop technological know-how, and computational biology will achieve new insights into how bio-inspired and nanoscale units can be utilized to layout the subsequent new release of more advantageous built-in circuits.
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Extra info for Bio-Inspired and Nanoscale Integrated Computing (Nature-Inspired Computing Series)
Working at the molecular level with nanowires still has its shortcomings and is an incredible challenge in the ﬁeld of neuroscience and nanocomputing. The extremely intricate composition of the CNS poses obvious challenges to nanocomputing’s applications in neuroscience. Speciﬁcally, these include cellular heterogeneity and multi-dimensional cellular interactions which explain the basis of its extremely complex information processing . There is also the challenge of guiding nanowire probes to a predetermined location among the thousands of capillary branches in the human brain that reside in the brain’s vascular system.
In fact, switches, wires, and support structures have all been demonstrated with carbon nanotubes, but, as with many nanoscale devices, the ability to fabricate a practical nanoscale device with nanotubes and nanowires is still an open challenge. Carbon nanotubes are discussed further in several chapters in this book. See Chapter 2, Chapter 12, and Chapter 18. 3. Quantum Dots and Tunneling Devices Many quantum phenomena occur when conﬁning electrons to a very small space, such as the nanoscale range.
Anderson, H. Takeuchi, Y. K. Choi, K. Asano, V. Subramanian, T. J. King, J. Bokor, and C. Hu. Sub 50-nm ﬁnFET: PMOS. Electron Devices Meeting, 1999. IEDM Technical Digest International: pp 67–70, 1999. 7. B. S. Doyle, S. Datta, M. Doczy, S. Hareland, B. Jin, J. Kavalieros, T. Linton, A. Murthy, R. Rios, and R. Chau. High performance fully depleted tri-gate CMOS transistors. IEEE Electron Device Letters, 24(4): pp 263–265, Apr 2003. 8. Harold Abelson and Peter Andreae. Information transfer and area-time tradeoffs for VLSI multiplication.
Bio-Inspired and Nanoscale Integrated Computing (Nature-Inspired Computing Series) by Mary Mehrnoosh Eshaghian-Wilner