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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Seminario, J.M. Liuming Yan Ma, Y. |
| Copyright Year | 2002 |
| Abstract | We have proposed possible scenarios based on molecular electrostatic potentials and molecular vibrational modes that can be combined to process and encode information in nanosized circuits. These two intrinsic properties determine how molecules interact or communicate to each other and to themselves. These scenarios may provide the solution to satisfy the urgent need for exponential growth of computational performance and eventually to radically change the way how computation is performed. Presently, the increase in computational power is achieved by scaling down the size of devices. However, already at the nanometer scale, the process of scaling down is seriously limited by physical laws regardless of what materials are used. These limitations lead us to compromise the speed of electronic devices against heat removal, which is one of the consequences of scaling-down. The new scenarios would allow computing with molecules in a molecular friendly fashion and eventually in a way similar to those in biological systems. The molecular potentials and vibronics would indeed address the heating issues, which are the overarching killers at future technology nodes |
| Sponsorship | IEEE Nanotechnology Council |
| Starting Page | 436 |
| Ending Page | 440 |
| Page Count | 5 |
| File Size | 568795 |
| File Format | |
| ISSN | 1536125X |
| Volume Number | 5 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Encoding Electrostatics Nanobioscience Circuits Electrons Biological systems Signal to noise ratio Temperature Biological materials Biology computing vibrational states Ab initio biological systems density functional theory digital signal processing molecular electronics molecular electrostatic potentials nanotechnology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nanoscience and Nanotechnology Electrical and Electronic Engineering Computer Science Applications |
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