%0 Journal Article %1 WOS:000073866100005 %A Shibusa, Y %A Andrade, JS %A Ikenoue, Y %C TSUKIJI DAISAN NAGAOKA BLDG, 2-4-2 TSUKIJI, CHUO-KU, TOKYO, 104, JAPAN %D 1998 %I SOC POLYMER SCIENCE JAPAN %J KOBUNSHI RONBUNSHU %K conducting electrical mesoscopic model; network; percolation} polymers; resistor scaling; size transport; {random %N 5 %P 261-268 %R 10.1295/koron.55.261 %T A random network model for electrical transport in conducting polymers %V 55 %X A random resistor network is proposed as a conceptual mesoscopic model for electrical transport in conducting polymers. In such a theoretical famework, structural and phenomenological aspects of the system can be simultaneously represented. The influence of topological and morphological disorder, chain length, chain length distribution, and polymer orientation on the overall conductivity of the idealized polymeric sample is investigated. The results of our simulations revealed a strong structural effect on the electrical transport efficiency of idealized conducting polymer systems. We demonstrated that the size scaling properties of conducting polymer systems might be susceptible not only to their topological and morphological features but also to the physical conditions. The main conclusion of our work refers to the potentialities of the network modelling technique as a tool for a better design of conducting polymer characteristics.

@article{WOS:000073866100005, abstract = {A random resistor network is proposed as a conceptual mesoscopic model for electrical transport in conducting polymers. In such a theoretical famework, structural and phenomenological aspects of the system can be simultaneously represented. The influence of topological and morphological disorder, chain length, chain length distribution, and polymer orientation on the overall conductivity of the idealized polymeric sample is investigated. The results of our simulations revealed a strong structural effect on the electrical transport efficiency of idealized conducting polymer systems. We demonstrated that the size scaling properties of conducting polymer systems might be susceptible not only to their topological and morphological features but also to the physical conditions. The main conclusion of our work refers to the potentialities of the network modelling technique as a tool for a better design of conducting polymer characteristics.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {TSUKIJI DAISAN NAGAOKA BLDG, 2-4-2 TSUKIJI, CHUO-KU, TOKYO, 104, JAPAN}, author = {Shibusa, Y and Andrade, JS and Ikenoue, Y}, biburl = {https://www.bibsonomy.org/bibtex/25e27bf3f569cd20c284fb74e823fa932/ppgfis_ufc_br}, doi = {10.1295/koron.55.261}, interhash = {2c9b4a935a0fee4f50cf8aee951c1e89}, intrahash = {5e27bf3f569cd20c284fb74e823fa932}, issn = {0386-2186}, journal = {KOBUNSHI RONBUNSHU}, keywords = {conducting electrical mesoscopic model; network; percolation} polymers; resistor scaling; size transport; {random}, number = 5, pages = {261-268}, publisher = {SOC POLYMER SCIENCE JAPAN}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {A random network model for electrical transport in conducting polymers}, tppubtype = {article}, volume = 55, year = 1998 }