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Volumn 28, Issue 2, 2014, Pages 111-122
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Computational atomistic blueprinting of novel conducting copolymers using particle swarm optimization
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Author keywords
Computational chemistry; Conducting polymers; Copolymers; Electronic properties; Particle swarm optimization; Substitution
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Indexed keywords
CALCULATIONS;
CONDUCTING POLYMERS;
CRYSTAL STRUCTURE;
ELECTRONIC PROPERTIES;
ENERGY GAP;
INVERSE PROBLEMS;
ITERATIVE METHODS;
MOLECULAR ORBITALS;
PARTICLE SWARM OPTIMIZATION (PSO);
ATOMISTICS;
COMPARATIVES STUDIES;
CONDUCTING COPOLYMERS;
COUNTING TECHNIQUES;
ELECTRONIC.STRUCTURE;
INVERSE ITERATION METHOD;
META-HEURISTIC APPROACH;
PARTICLE SWARM;
PARTICLE SWARM OPTIMIZATION;
SWARM OPTIMIZATION;
COMPUTATIONAL CHEMISTRY;
BENZENE DERIVATIVE;
COPOLYMER;
FURAN;
NITROGEN;
PYRROLE;
SULFUR;
THIOPHENE;
FURAN DERIVATIVE;
POLYMER;
PYRROLE DERIVATIVE;
THIOPHENE DERIVATIVE;
AB INITIO CALCULATION;
ARTICLE;
ATOM;
COMPARATIVE STUDY;
COMPUTER MODEL;
CONDUCTANCE;
CRYSTAL;
DENSITY;
ELECTRON;
ENERGY;
ENGINEERING;
GENETIC ALGORITHM;
PARTICLE SWARM OPTIMIZATION;
PRIORITY JOURNAL;
PROCESS OPTIMIZATION;
CHEMICAL STRUCTURE;
CHEMISTRY;
FURANS;
MODELS, MOLECULAR;
POLYMERS;
PYRROLES;
THIOPHENES;
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EID: 84898777688
PISSN: 0920654X
EISSN: 15734951
Source Type: Journal
DOI: 10.1007/s10822-014-9736-0 Document Type: Article |
Times cited : (5)
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References (44)
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