Nanotechnology and Computer Science
a. Khondoker Zahidul Hoossain • b. Dr. Nilay Kumar Dey
* a: ID#: 13103061 Section: M Program: BCSE
b: Faculty of Chemistry
International University of Business Agriculture and Technology
Nanotechnology is the engineering of functional systems at the molecular scale. Nanotechnology has been developed with cooperation from researchers in several fields of studies including physics, chemistry, biology, material science, engineering, and computer science. It is hoped that this may lead to the realization of our visions. Applications of Nano-technology on different fields of science have made a way to improve our daily way of life. Especially on Computer Science it has become a blessing. Today we are able to use computers as mini as a watch, everything has been possible through nanotechnology.
Keywords: Nano Technology, Computer Science, Nano Future.
In 1959, Richard Feynman, a future Nobel Laureate, gave a visionary talk entitled “There’s Plenty of Room at the Bottom” on miniaturization to nanometer-scales. Later, the work of Drexler [1,2] also gave futuristic visions of nanotechnology. Feynman and Drexler’s visions inspired many researchers in physics, material science, chemistry, biology and engineering to become nanotechnologists. Their visions were fundamental: since our ancestors made flint axes, we have been improving our technology to bring convenience into our everyday life. Today a computer can be carried with one hand – 40 years ago a computer (hundreds of times slower) was the size of a room. Miniaturization of microprocessors is currently in process at nanometer-scales . Yet, the style of our modern technology is still the same as ancient technology that constructed a refined product from bulk materials. This style is referred to as bulk or top-down technology . As conventional methods to miniaturize the size of transistors in silicon microprocessor chips will soon reach its limit and the modification of today’s top-down technology to produce nanoscale structures is difficult and expensive , a new generation of computer components will be required. Feynman and Drexler proposed a new style of technology, which assembles individual atoms or molecules into a refined product . This Drexler terms molecular technology or bottom-up technology . This bottom-up technology could be the answer for the computer industry. Though top-down technology currently remains the choice for constructing mass-produced devices, nanotechnologists are having increasing success in developing bottom-up technology .
There are some concerns regarding emergent bottom-up technology. First, the laws of physics do not always apply at nanometer-scales . The properties of matter at nanometer-scales are governed by a complex combination of classical physics and quantum mechanics . Nevertheless, bottom-up fabrication methods have been successfully used to make nanotubes and quantum dots . These methods are not yet suitable for building complex electronic devices such as computer processors, not to mention nano assemblers that can make copies of them and work together at a task. Furthermore, and significantly, once knowledge of nanotechnology is advanced and real-world. Nano assemblers are realized, they must be properly controllable to prevent any threats to our world.
Figure [ 1 ]: Nano-Technology
More recently computer science has become involved in nanotechnology. Such research is wide ranging and includes: software engineering, networking, internet security, image processing, virtual reality, human-machine interface, artificial intelligence, and intelligent systems. Most work focuses on the development of research tools. For example, computer graphics and image processing have been used in Nano manipulators that provide researchers an interactive system interface to scanning-probe microscopes, which allow us to...
References: 2. K. E. Drexler, C. Peterson and G. Pergamit, Unbounding the Future: the Nanotechnology Revolution, 1991.
4. M. L. Roukes, "Plenty of Room, Indeed". Scientific American, September, 2001.
5. C. Levit, S. T. Bryson and C. E. Henze. "Virtual Mechanosynthesis". Fifth Foresight Conference on Molecular Nanotechnology , 1997
7. J. S. Hall, "Agoric/Genetic Methods in Stochastic Design". Fifth Foresight Conference on Molecular Nanotechnology. 1997.
9. G. Stix, 2001. "Little Big Science". Scientific American, September.
11. R. M. Taylor II, W. Robinett, V. L. Chi, F. P. Brooks, W. V. Wright Jr., R. S. Williams and E. J. Snyder. "The Nanomanipulator: A Virtual-Reality Interface for a Scanning Tunneling Microscope". Proceedings of SIGGRAPH. 1993
13. W. T. Muller, D. L. Klein, T. Lee, J. Clarke, P. L. McEuen and P. G. Schultz. "A Strategy for the Chemical Synthesis of Nanostructures". Science, 268, 272-273. 1995
15. F. Rosei, M. Schunack P. Jiang A. Gourdon E. Laegsgaard I Stensgaard C. Joachim and F. Besenbacher. "Organic Molecules Acting as Templates on Metal Surfaces". Science, 296, 328-331. 2002
17. S. Iijima. "Helical Microtubules of Graphitic Carbon". Nature, 354. 1991.
18. T. A. Fulton and G. J. Dolan. "Observation of Single-Electron Charging Effects in Small Tunnel Junctions". Phys.Rev.Lett., 59, 109-112. 1987.
19. C. M. Lieber. "The Incredible Shrinking Circuit". Scientific American, September. 2001.
20. M. A. Reed and J. M. Tour. "Computing with Molecules". Scientific American, June. 2000.
21. L. Adleman, "Molecular Computation of Solutions to Combinatorial Problems". Science, 266, 1021-1024. 1994.
22. N. Gershenfeld, "Quantum Computing with Molecules". Scientific American, June. 1998.
23. R. Feynman, "Simulating Physics with Computers". International Journal of Theoretical Physics, 21, 467-488. 1982.
24. K. E. Drexler, Nanosystems: Molecular Machinery, Manufacturing, and Computation. Wiley. 1992.
26. S. Ashley, "Nanobot Construction Crews". Scientific American, September, 2001.
28. R. Eberhart, Y. Shi and J. Kennedy, Swarm Intelligence. Morgan Kaufmann. 2001.
30. E. Bonsma, N. C. Karunatillake, R. Shipman, M. Shackleton and D. Mortimore, "Evolving Greenfield Passive Optical Networks". BT Technology Journal, 21(4), 44-49. 2003.
32. B. Kaewkamnerdpong and P. J Bentley, "Perceptive Particle Swarm Optimisation". Proceedings of ICANNGA. 2005.
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