Open Access
Materials, volume 14, issue 6, pages 1454
Modeling of Nonlinear Optical Phenomena in Host-Guest Systems Using Bond Fluctuation Monte Carlo Model: A Review
1
Department of Theoretical Physics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
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2
Leibniz-Institut für Polymerforschung Dresden e.V., Hohe Strasse 6, 01069 Dresden, Germany
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Publication type: Journal Article
Publication date: 2021-03-16
PubMed ID:
33809785
General Materials Science
Abstract
We review the results of Monte Carlo studies of chosen nonlinear optical effects in host-guest systems, using methods based on the bond-fluctuation model (BFM) for a polymer matrix. In particular, we simulate the inscription of various types of diffraction gratings in degenerate two wave mixing (DTWM) experiments (surface relief gratings (SRG), gratings in polymers doped with azo-dye molecules and gratings in biopolymers), poling effects (electric field poling of dipolar molecules and all-optical poling) and photomechanical effect. All these processes are characterized in terms of parameters measured in experiments, such as diffraction efficiency, nonlinear susceptibilities, density profiles or loading parameters. Local free volume in the BFM matrix, characterized by probabilistic distributions and correlation functions, displays a complex mosaic-like structure of scale-free clusters, which are thought to be responsible for heterogeneous dynamics of nonlinear optical processes. The photoinduced dynamics of single azopolymer chains, studied in two and three dimensions, displays complex sub-diffusive, diffusive and super-diffusive dynamical regimes. A directly related mathematical model of SRG inscription, based on the continuous time random walk (CTRW) formalism, is formulated and studied. Theoretical part of the review is devoted to the justification of the a priori assumptions made in the BFM modeling of photoinduced motion of the azo-polymer chains.
Citations by journals
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Materials
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Citations by publishers
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3
4
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
4 publications, 33.33%
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Royal Society of Chemistry (RSC)
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3 publications, 25%
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Elsevier
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Elsevier
1 publication, 8.33%
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American Chemical Society (ACS)
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American Chemical Society (ACS)
1 publication, 8.33%
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Wiley
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Wiley
1 publication, 8.33%
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Hindawi Limited
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Hindawi Limited
1 publication, 8.33%
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1
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3
4
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Mitus A. et al. Modeling of Nonlinear Optical Phenomena in Host-Guest Systems Using Bond Fluctuation Monte Carlo Model: A Review // Materials. 2021. Vol. 14. No. 6. p. 1454.
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Mitus A., Saphiannikova M., Radosz W., Toshchevikov V., Pawlik G. Modeling of Nonlinear Optical Phenomena in Host-Guest Systems Using Bond Fluctuation Monte Carlo Model: A Review // Materials. 2021. Vol. 14. No. 6. p. 1454.
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TY - JOUR
DO - 10.3390/ma14061454
UR - https://doi.org/10.3390%2Fma14061454
TI - Modeling of Nonlinear Optical Phenomena in Host-Guest Systems Using Bond Fluctuation Monte Carlo Model: A Review
T2 - Materials
AU - Toshchevikov, Vladimir
AU - Mitus, A.C.
AU - Saphiannikova, M
AU - Radosz, Wojciech
AU - Pawlik, G.
PY - 2021
DA - 2021/03/16 00:00:00
PB - Multidisciplinary Digital Publishing Institute (MDPI)
SP - 1454
IS - 6
VL - 14
PMID - 33809785
SN - 1996-1944
ER -
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@article{2021_Mitus,
author = {Vladimir Toshchevikov and A.C. Mitus and M Saphiannikova and Wojciech Radosz and G. Pawlik},
title = {Modeling of Nonlinear Optical Phenomena in Host-Guest Systems Using Bond Fluctuation Monte Carlo Model: A Review},
journal = {Materials},
year = {2021},
volume = {14},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
month = {mar},
url = {https://doi.org/10.3390%2Fma14061454},
number = {6},
pages = {1454},
doi = {10.3390/ma14061454}
}
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Mitus, A.C., et al. “Modeling of Nonlinear Optical Phenomena in Host-Guest Systems Using Bond Fluctuation Monte Carlo Model: A Review.” Materials, vol. 14, no. 6, Mar. 2021, p. 1454. https://doi.org/10.3390%2Fma14061454.