2015
DOI: 10.1016/j.commatsci.2015.02.032
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Formation of GaAs nanostructures by droplet epitaxy—Monte Carlo simulation

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Cited by 29 publications
(12 citation statements)
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References 34 publications
(48 reference statements)
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“…At the same time, droplet atoms are in equilibrium with the wetting layer, and no concentration gradient appears. However, when the arsenic is supplied to the growth chamber, it covers the surface with an arsenic layer and partially penetrates into the droplets [ 53 ]. In this case, a concentration gradient arises between the arsenic-stabilized surface and metallic droplets, as a result of which a portion of the droplet atoms tend to occupy more energetically favorable positions on the surface arsenic atoms [ 54 ].…”
Section: Resultsmentioning
confidence: 99%
“…At the same time, droplet atoms are in equilibrium with the wetting layer, and no concentration gradient appears. However, when the arsenic is supplied to the growth chamber, it covers the surface with an arsenic layer and partially penetrates into the droplets [ 53 ]. In this case, a concentration gradient arises between the arsenic-stabilized surface and metallic droplets, as a result of which a portion of the droplet atoms tend to occupy more energetically favorable positions on the surface arsenic atoms [ 54 ].…”
Section: Resultsmentioning
confidence: 99%
“…E x is the activation energy for the event x at position r and k B is the Boltzmann constant. This model has been used as the core principle in droplet epitaxy Monte Carlo simulations which have accurately recreated experimental observation [17,20]. Each process rate is limited by intrinsic frequency v x .…”
Section: Resultsmentioning
confidence: 99%
“…[9,10] The peculiarities of simulating the liquid phase in the lattice model are described in previously published work. [14] The processes in the model are specified in accordance with the generally accepted concept of the self-catalytic growth of GaAs NWs. The Ga atoms and the arsenic molecules are deposited on the substrate covered by a mask film layer.…”
Section: Doi: 101002/pssb202100641mentioning
confidence: 99%
“…Besides analytical models, Monte Carlo (MC) simulations can predict the nanostructure morphology. [14][15][16][17][18] The purpose of this work was to analyze the pulsed epitaxial regime for NW growth at low temperature using MC simulation.…”
Section: Introductionmentioning
confidence: 99%