A stochastic modeling of morphology formation by optical near-field processes

Naruse, Makoto; Kawazoe, Tadashi; Yatsui, Takashi; Tate, Naoya; Ohtsu, Motoichi

doi:10.1007/s00340-011-4708-8

Cited by 10 publications

(11 citation statements)

References 13 publications

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“…A peak is found around s ≃ 11, which is consistent with our choice of parameter s 0 = 12 in the simulation. The present results are consistent with the experimental observation reported by [5] as well as the simulation results by [14].…”

Section: Cluster Structures In State Asupporting

confidence: 96%

“…We have assumed the uniform distribution in (2.9); however, since keeping the model simple, we would like to report the advantage of introducing the variable q t (r), which was not considered in the previous cellular automaton model [14], in order to realize transitions between the two distinct particle-deposition states. We start at the empty configuration ξ 0 = {(n 0 (r), q 0 (r)) = (0, 0) : r ∈ � L } and observe the following quantities at times t ∈ {0, 1, 2, .…”

Section: Discrete-time Stochastic Model On a Latticementioning

confidence: 99%

“…For these systems, stochastic modeling [11,12] is very useful in order to obtain deeper understandings of the underlying physical processes as well as to gain design principles for future devices and systems [3]. In the present paper, we develop the cellular automaton model [13] proposed by Naruse et al [14], which was introduced to simulate self-controlled pattern formation of Ag film reported by Yukutake et al [5] on the electrode of their photovoltaic device.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic model showing a transition to self-controlled particle-deposition state induced by optical near-fields

et al. 2015

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We study a stochastic model for the self-controlled particle-deposition process induced by optical near-fields. This process was experimentally realized by Yukutake et al. on an electrode of a novel photovoltaic device as Ag deposition under light illumination, in which the wavelength of incident light is longer than the long-wavelength cutoff of the materials composing the device. Naruse et al. introduced a stochastic cellular automaton model to simulate underlying nonequilibrium processes which are necessary to formulate unique granular Ag film in this deposition process. In the present paper, we generalize their model and clarify the essential role of optical nearfields generated on the electrode surface. We introduce a parameter b indicating the incident light power per site and a function representing the resonance effect of optical near-fields depending on the Ag-cluster size on the surface. Numerical simulation shows a transition from a trivial particle-deposition state to a nontrivial self-controlled particle-deposition state at a critical value b c , and only in the latter state optical nearfields are effectively generated. The properties of transition in this mesoscopic surface model in nonequilibrium are studied by the analogy of equilibrium phase transitions associated with critical phenomena and the criteria of transition are reported.

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Section: Cluster Structures In State Asupporting

confidence: 96%

Section: Discrete-time Stochastic Model On a Latticementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stochastic model showing a transition to self-controlled particle-deposition state induced by optical near-fields

et al. 2015

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“…The morphology was analyzed, and a stochastic model was constructed in order to understand the principles behind the self-organized pattern formation process [67] . The modeling includes the geometrical characteristics of the structures, their associated dressed photons, and the matter that fl ows in and out of the system.…”

Section: Optical To Electrical Energymentioning

confidence: 99%

Dressed photon technology

Ohtsu

2012

Nanophotonics

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This paper reviews the theoretical picture of dressed photons used to describe the electromagnetic interactions between nanometric particles located in close proximity to each other. The coupling between a dressed photon and multi-mode coherent phonons is also presented, revealing the presence of a novel phonon-assisted process in light -matter interactions. Applications of this novel process to innovative optical devices, fabrication technologies, energy conversion, and hierarchical systems are demonstrated.

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“…We consider that such modeling will be applicable to other light-assisted material formation processes, and will be beneficial in the design of future nanophotonic devices and systems. For example, phonon-assisted near-field processes generated characteristic surface morphology [23]. Further investigation based on a stochastic viewpoint will be more important in the future.…”

mentioning

confidence: 99%

Stochastic processes in light-assisted nanoparticle formation

Naruse

Liu

Nomura

et al. 2012

Applied Physics Letters

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Abstract:Recently, light-assisted nanofabrication have been introduced, such as the synthesis of quantum dots using photo-induced desorption that yields reduced size fluctuations, or metal sputtering under light illumination resulting in self-organized, nanoparticle chains. The physical mechanisms have originally been attributed to material desorption or plasmon resonance effects. However, significant stochastic phenomena are also present that have not been explained yet. We introduce stochastic models taking

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A stochastic modeling of morphology formation by optical near-field processes

Cited by 10 publications

References 13 publications

Stochastic model showing a transition to self-controlled particle-deposition state induced by optical near-fields

Stochastic model showing a transition to self-controlled particle-deposition state induced by optical near-fields

Dressed photon technology

Stochastic processes in light-assisted nanoparticle formation

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