A unified bottom up multiscale strategy to model gas sensors based on conductive polymers

TitleA unified bottom up multiscale strategy to model gas sensors based on conductive polymers
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2015
AuthorsByshkin, M.S., Buonocore F., Di Matteo A., and Milano G.
JournalSensors and Actuators, B: Chemical
Volume211
Pagination42-51
ISSN09254005
KeywordsAtomistic simulations, Chemical sensors, Conducting polymers, Conductive Polymer, Conductivity properties, Gas detectors, Microscopic structures, Models, Monte Carlo methods, Monte Carlo techniques, Polyaniline, Polyanilines (PAni), Response, Sensing mechanism
Abstract

A multiscale bottom up procedure, based on an atomistic description, able to model the sensing mechanism of devices based on intrinsic conductive polymers (ICP) is described. The proposed procedure has been successfully applied to describe the response of devices based on polyaniline (PANI), the most widely used material for this application. In particular, using a recently developed Monte Carlo technique, atomistic PANI structures at different doping levels have been modeled. Thermodynamic and conductivity properties obtained from atomistic simulations have been bridged to a macroscopic modeling scheme, describing diffusion and reaction processes and, finally, the time dependent sensor response in good agreement with experiments. A similar scheme has been then adopted in order to understand at molecular level the effect of humidity in the sensor response. The proposed approach is general and can be extended to different or more complex systems giving a useful connection between the microscopic structure of the sensing material and the sensor behavior. © 2015 Published by Elsevier B.V.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84922620926&doi=10.1016%2fj.snb.2015.01.039&partnerID=40&md5=9d330e8218a437845a30fcfb30b40deb
DOI10.1016/j.snb.2015.01.039