Evaluation of varieties of set yogurts and their physical properties using a voltammetric electronic tongue based on various potential waveforms. Discrimination and prediction of multiple beef freshness indexes based on electronic nose. Graphene-metal oxide nanohybrids for toxic gas sensor: A review. Integrating health on air quality assessment―Review report on health risks of two major european outdoor air pollutants: PM and NO2. The simulated graphene based structures can be converted into physical sensors to obtain a low cost, small sized, integrated sensing device.Īrmchair graphene nanoribbon detector graphene graphene nanosheet methanol phenol photocurrent.Īndre R.S., Mercante L.A., Facure M.H., Mattoso L.H.C.
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In the proximity of target molecules, a significant change in DOS, electric current and photocurrent have been observed. Devices density of states (DOS), current-voltage curves and photocurrent curves have been calculated with the ATK simulator. A nanoscale electronic device simulator, Quantumwise Atomistix Toolkit (ATK), has been used to simulate graphene nanosheet and armchair graphene nanoribbon based sensors. In this method, a change in the photocurrent, as well as electric current, have been used as detection signals to improve the sensor accuracy and selectivity for specific target molecules. A novel method for the detection of organic compounds (phenol and methanol) has been introduced in this article. The purpose of the work presented in this article is to demonstrate the ability of graphene derivatives to detect toxic organic compounds like phenol and methanol. This property of graphene makes it a suitable candidate for sensor applications. Graphene is very sensitive to any physical changes in its surrounding environment and, inherently, has very low electronic noise.
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You may consider carefully reading the two papers and try to understand what are the approximations used in these two rather different works for describing the electronic structure and the electron-phonon interaction of Si nanostructures.Over the last decade graphene based electronic devices have attracted the interest of researchers due to their exceptional chemical, electrical and optical properties. So, I would question the reliability of the tight-binding-based calculations in the other paper. In addition, the tight-binding study is likely using electron-phonon coupling constants obtained from bulk 3D calculations unlike the DFT study in which the electron-phonon coupling is computed for the actual low-dimensional system, taking into account surface phonons.Īlso, the DFT-based calculations in the QuantumATK were done with two rather different methods (special thermal displacement and LOE) to account for electron-phonon interaction, and these two methods give similar results.
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Moreover, one study is done using semi-empirical tight-binding model, whereas the other one is based on ab-initio density functional theory. boron-nitride, black phosphorene, molybdenum-disulfide and other TMDCs) jointly organised by Technical University of Denmark, University of Copenhagen and Århus University. You are comparing studies done for two different material systems: nanowire vs thin film. .is a two day symposium on graphene,carbon nanotubes, and other two-dimensional nanomaterials (e.g. I just wonder why does the STD method give an opposite result than others? Is there anything that I misunderstand here? For example in a paper named " Role of phonon scattering in graphene nanoribbon transistors: Nonequilibrium Green’s function method with real space approach" They also give a similar result for GNR transistor. In paper PhysRevB.80.155430, they studied Si nanowire and their simulation shows an opposite result that the off-state current is rather unchanged, but the on-state current is reduced because of the phonon scattering. I got the idea that phonon will have the positive effect that increases the off-state current by several magnitudes (the phonon-assisted tunneling), while unchanging the on state current. I am studying the e-ph interaction effect in graphene nanoribbon transistor device, and I have read through some Quantumwise case study page Īs well as the STD case study for Si p-n junction in paper Phys.