2021
DOI: 10.3390/ma14174962
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Characterization of Monte Carlo Dynamic/Kinetic Properties of Local Structure in Bond Fluctuation Model of Polymer System

Abstract: We report the results of the characterization of local Monte Carlo (MC) dynamics of an equilibrium bond fluctuation model polymer matrix (BFM), in time interval typical for MC simulations of non-linear optical phenomena in host-guest systems. The study contributes to the physical picture of the dynamical aspects of quasi-binary mosaic states characterized previously in the static regime. The polymer dynamics was studied at three temperatures (below, above and close to the glass transition), using time-dependen… Show more

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Cited by 3 publications
(3 citation statements)
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“…Such models can be extended in various ways, e.g., to include bending potentials, , attractive nonbonded interactions, or (in the case of polymer solutions) a hydrodynamic coupling to a fluid medium . They have been used to verify scaling predictions , and to study generic aspects of single polymer phase transitions such as chain adsorption or the coil–globule transition properties of polymer melts and blends and even dynamical transitions such as the glass transition. To some extent, they can also be used to make quantitative predictions for chemically specific polymers. For example, recent work by Everaers and co-workers has shown that, for a wide range of commodity polymer melts, matching a single local property in melts of Kremer-Grest chains, the so-called dimensionless Kuhn number, is sufficient to reproduce the correct entanglement modulus. , The Kuhn number is derived from microscopic quantities, i.e., the number of Kuhn segments in a volume of Kuhn length cube.…”
Section: Scales In Polymersmentioning
confidence: 99%
“…Such models can be extended in various ways, e.g., to include bending potentials, , attractive nonbonded interactions, or (in the case of polymer solutions) a hydrodynamic coupling to a fluid medium . They have been used to verify scaling predictions , and to study generic aspects of single polymer phase transitions such as chain adsorption or the coil–globule transition properties of polymer melts and blends and even dynamical transitions such as the glass transition. To some extent, they can also be used to make quantitative predictions for chemically specific polymers. For example, recent work by Everaers and co-workers has shown that, for a wide range of commodity polymer melts, matching a single local property in melts of Kremer-Grest chains, the so-called dimensionless Kuhn number, is sufficient to reproduce the correct entanglement modulus. , The Kuhn number is derived from microscopic quantities, i.e., the number of Kuhn segments in a volume of Kuhn length cube.…”
Section: Scales In Polymersmentioning
confidence: 99%
“…The reason is its modification to current conditions and the usability of modern software tools, which leads to its wide applicability in various scientific disciplines. The Monte Carlo method is currently used in the field of physics and electrical engineering [26][27][28][29], chemistry [30,31], safety assessment [32], industry [33,34], public sector [35], economy [36][37][38][39], and others. We most often encounter the Monte Carlo method in simulations in economics, e.g., in option pricing, financial decisionmaking, etc.…”
Section: Modern Methods In Financial Managementmentioning
confidence: 99%
“…The wide application of this method results from its simple modification to current conditions and the usability of modern software tools. For this very reason, this method has become a multidisciplinary method used in various scientific branches, such as the field of physics and electrical engineering [37][38][39][40], chemistry [41,42], safety assessment [43], industry [44,45], the public sector [46], economics [36,[47][48][49], and many other fields. Practice has shown that the use of the Monte Carlo method leads to a significant reduction in variance but, above all, to a reduction in computing time [50,51].…”
mentioning
confidence: 99%