Charge transport in various dimensions of small networks composed of gold nanoparticles and terthiophene wire-molecules

Abstract

Electrical transport properties and magnetic cluster glass behavior of Nd 0.7 Sr 0.3 Mn O 3 nanoparticles

Dimensionality-dependent charge transport in close-packed nanoparticle arrays: from 2D to 3D

“…The transport properties of these nanoparticle arrays were investigated and some unexpected behaviors were found solely in 1D nanoparticle arrays. Despite this exciting progress, it remains a great challenge to fabricate nanoparticle arrays that can crossover from 2D to 3D continuously 39 . As a consequence, the evolution of the transport properties of nanoparticle array during the transition of the dimensionality from 2D to 3D is unclear up to now.…”

Controllability of the Coulomb charging energy in close-packed nanoparticle arrays

“…Although many research efforts have been devoted to investigate the Coulomb charging energy in nanoparticle assemblies [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30], discrepancies still exist about some fundamental questions. One example is about the estimation of the Coulomb charging energy in nanoparticle assemblies.…”

“…In these cases, we need other methods to tune the Coulomb charging energy of the devices if required. However, studies on the dependence of the Coulomb charging energy upon different parameters often focused on one or two parameters [15,16,19,29,30]. Therefore, the tuning of the Coulomb charging energy with different methods is critical not only for understanding the charge transport process in nanoparticle assemblies, but also for device applications of artificial solids.…”

“…Another important parameter in nanoparticle ensembles is the nearest-neighboring-number (NNN). However, this parameter has seldom been tuned so far, mainly because of the difficulty of experimental implementation [30]. In our device preparation procedure, we could easily change the dimensionality of the nanoparticle arrays under test from 2D to 3D by increasing the array thickness layer by layer.…”

Crossover from Efros–Shklovskii variable range hopping to nearest-neighbor hopping in silicon nanocrystal random network

“…Electron transport via a strongly localized and=or structurally ordered QD system is affected by the single-electron charge effect. [3][4][5][6] This effect leads to highly non-ohmic current-voltage (I-V ) characteristics owing to a Coulomb blockade. On the other hand, in a strongly coupled and=or structurally disordered system, the conduction mechanism changes to thermally activated variable range hopping (VRH) with relatively linear I-V features.…”