Molecular Electronics: Bio-sensors and Bio-computers

L. Barsanti (u. a.)

ISBN 10: 1402012128 / ISBN 13: 9781402012129

Published by Springer Netherland, 2003

About this Item

Molecular Electronics: Bio-sensors and Bio-computers | L. Barsanti (u. a.) | Taschenbuch | viii | Englisch | 2003 | Springer Netherland | EAN 9781402012129 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 102470323

Bibliographic Details

• Title: Molecular Electronics: Bio-sensors and Bio-computers
• Publisher: Springer Netherland
• Publication Date: 2003
• Language: English
• ISBN 10: 1402012128
• ISBN 13: 9781402012129
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 30D millimeters 234 millimeters width by 156 millimeters height by 30 millimeters depth
• Weight: 834 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

How fast and powerful can computers become? Will it be possible someday to create artificial brains that have intellectual capabilities comparable to those of human beings? The answers to these questions depend to a very great extent on a single factor: how small and dense we can make computer circuits. Very recently, scientists have achieved revolutionary advances that may very well radically change the future of computing.

There are significant advantages to using biological molecules in a new computational paradigm, since nature has solved similar problems to those encountered in harnessing organic molecules to perform data manipulation. Biomolecules could be used as photonic devices in holography, as spatial light modulators, in neural network optical computing, as nonlinear optical devices, and as optical memories. Such computers may use a billion times less energy than electronic computers, while storing data in a trillionth of the space, while also being highly parallel. Research projects implemented by national and international groups have produced a large amount of data from multidisciplinary work, ranging from physics and engineering to chemistry and biology.