Computational modeling of transport properties of decorated SWCNT: application in H2S gas sensor

Bagherzadeh-Nobari, S.; Istadeh, Kiarash Hosseini; Kalantarinejad, Reza

doi:10.1007/s11051-020-05013-3

Cited by 1 publication

(1 citation statement)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, in the literature many models are presented for gas sensors based on CNTs [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ] but the majority of them treat single CNT devices (usually FETs) [ 22 , 23 , 24 , 25 , 26 ] or they do not arrive to an implementable mathematical model [ 27 ] and all those models are related to static conditions. A few models are developed for chemiresistors based on CNT networks [ 20 , 21 ], but these provide only a static description of their behavior, and the relationship between the transport mechanism and the chemical behavior is not based on a physical interpretation.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Conductivity Response to NO2 Gas of Films Based on MWCNT Networks

Fort

Mugnaini

Panzardi

et al. 2021

Sensors

View full text Add to dashboard Cite

This work proposes a model describing the dynamic behavior of sensing films based on functionalized MWCNT networks in terms of conductivity when exposed to time-variable concentrations of NO2 and operating with variable working temperatures. To test the proposed model, disordered networks of MWCNTs functionalized with COOH and Au nanoparticles were exploited. The model is derived from theoretical descriptions of the electronic transport in the nanotube network, of the NO2 chemisorption reaction and of the interaction of these two phenomena. The model is numerically implemented and then identified by estimating all the chemical/physical quantities involved and acting as parameters, through a model fitting procedure. Satisfactory results were obtained in the fitting process, and the identified model was used to further the analysis of the MWCNT sensing in dynamical conditions.

show abstract