The use of nanoscale low-dimensional systems could boost the sensitivity of gas sensors. In this work we simulate a nanoscopic sensor based on carbon nanotubes with a large number of binding sites using ab initio density functional electronic structure calculations coupled to the Non-Equilibrium Green's Function formalism. We present a recipe where the adsorption process is studied followed by conductance calculations of a single defect system and of more realistic disordered system considering different coverages of molecules as one would expect experimentally. We found that the sensitivity of the disordered system is enhanced by a factor of 5 when compared to the single defect one. Finally, our results from the atomistic electronic transp...
Carbon Nanotubes (CNTs) are generally nano-scale tubes comprising a network of carbon atoms in a cyl...
The gas-sensing properties of Pt-decorated carbon nanotubes (CNTs), which provide a foundation for t...
In this study, a set of new analytical models to predict and investigate the impacts of gas adsorpti...
The use of nanoscale low-dimensional systems could boost the sensitivity of gas sensors. In this wor...
Using a combination of density functional theory and recursive Green's functions techniques, we pres...
Carbon nanotubes rank amongst potential candidates for a new family of nanoscopic devices, in partic...
We use computational screening to systematically investigate the use of transition-metal-doped carbo...
The sensing ability of metallic carbon nanotubes toward various gas species (NO2, NH3, CO, H2O, and ...
Existing theoretical literature suggests that defect-free, pristine carbon nanotubes (CNTs) interact...
In this study, a set of new analytical models to predict and investigate the impacts of gas adsorpti...
We present ab initio calculations on the band structure and density of states of single wall semicon...
Desde sua descoberta por S. Iijima em 1991, os nanotubos de carbono têm sido considerados um dos mat...
et al.Designing nanoscale devices, such as gas sensors and thermal dissipators, is challenging at mu...
Gas phase detection of explosive molecules is a sensing application of wide interest. Light weight, ...
We demonstrate a bottom up approach to the computational design of a multifunctional chemical sensor...
Carbon Nanotubes (CNTs) are generally nano-scale tubes comprising a network of carbon atoms in a cyl...
The gas-sensing properties of Pt-decorated carbon nanotubes (CNTs), which provide a foundation for t...
In this study, a set of new analytical models to predict and investigate the impacts of gas adsorpti...
The use of nanoscale low-dimensional systems could boost the sensitivity of gas sensors. In this wor...
Using a combination of density functional theory and recursive Green's functions techniques, we pres...
Carbon nanotubes rank amongst potential candidates for a new family of nanoscopic devices, in partic...
We use computational screening to systematically investigate the use of transition-metal-doped carbo...
The sensing ability of metallic carbon nanotubes toward various gas species (NO2, NH3, CO, H2O, and ...
Existing theoretical literature suggests that defect-free, pristine carbon nanotubes (CNTs) interact...
In this study, a set of new analytical models to predict and investigate the impacts of gas adsorpti...
We present ab initio calculations on the band structure and density of states of single wall semicon...
Desde sua descoberta por S. Iijima em 1991, os nanotubos de carbono têm sido considerados um dos mat...
et al.Designing nanoscale devices, such as gas sensors and thermal dissipators, is challenging at mu...
Gas phase detection of explosive molecules is a sensing application of wide interest. Light weight, ...
We demonstrate a bottom up approach to the computational design of a multifunctional chemical sensor...
Carbon Nanotubes (CNTs) are generally nano-scale tubes comprising a network of carbon atoms in a cyl...
The gas-sensing properties of Pt-decorated carbon nanotubes (CNTs), which provide a foundation for t...
In this study, a set of new analytical models to predict and investigate the impacts of gas adsorpti...