Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/101544
Type: Artigo de evento
Title: Designing Conducting Polymers With Genetic Algorithms
Author: Giro R.
Cyrillo M.
Galvao D.S.
Abstract: We have developed a new methodology to design conducting polymers with pre-specified properties using genetic algorithms (GAs). The methodology combines GAs with the Negative Factor Counting (NFC) technique. NFC is a powerful technique to obtain the eigenvalues of large matrices without direct diagonalization. We present the results for a case study of polyanilines, one of the most important families of conducting polymers. The methodology proved to be able of generating automatic solutions for the problem of determining the optimum relative concentration for binary and ternary disordered polyaniline alloys exhibiting metallic properties. The methodology is completely general and can be used to design new classes of materials.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0036054389&partnerID=40&md5=e6fb940fe7ed6e1da761ea8baac2ed8d
Date Issue: 2002
Appears in Collections:Unicamp - Artigos e Outros Documentos

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