Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/106386
Type: Artigo de periódico
Title: Designing Conducting Polymers Using Bioinspired Ant Algorithms
Author: Martins B.V.C.
Brunetto G.
Sato F.
Coluci V.R.
Galvao D.S.
Abstract: Ant algorithms are inspired in real ants and the main idea is to create virtual ants that travel into the space of possible solutions depositing virtual pheromone proportional to how good a specific solution is. This creates an autocatalytic (positive feedback) process that can be used to generate automatic solutions to very difficult problems. In the present work we show that these algorithms can be used coupled to tight-binding Hamiltonians to design conducting polymers with pre-specified properties. The methodology is completely general and can be used for a large number of optimizations problems in materials science. © 2008 Elsevier B.V. All rights reserved.
Editor: 
Rights: fechado
Identifier DOI: 10.1016/j.cplett.2008.01.037
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-44549087296&partnerID=40&md5=df79dfed021440a6ed2502176e86804d
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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