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Volumn 78, Issue 4, 2008, Pages

Three-dimensional model for chemoresponsive polymer gels undergoing the Belousov-Zhabotinsky reaction

Author keywords

[No Author keywords available]

Indexed keywords

ABS RESINS; BOUNDARY VALUE PROBLEMS; COLLOIDS; FINITE ELEMENT METHOD; GELATION; GELS; MOTION ESTIMATION; POLYMERS; TWO DIMENSIONAL;

EID: 55149107437     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.78.041406     Document Type: Article
Times cited : (76)

References (39)
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    • We note that the linear hexahedral element was chosen for the simplicity. Any other element could be chosen, but all of the forces and integrals should be recalculated according to a procedure similar to the one described above. There is, however, no need to choose a more complex element since the model is robust with the above choice.
    • We note that the linear hexahedral element was chosen for the simplicity. Any other element could be chosen, but all of the forces and integrals should be recalculated according to a procedure similar to the one described above. There is, however, no need to choose a more complex element since the model is robust with the above choice.
  • 35
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    • We note that the actual run time for the simulation results shown in Fig. 3 (from t=0 until t=2000 with the time steps specified at the end of the model section) took 26 min on a single processor Intel Northwood 3.2 GHz.
    • We note that the actual run time for the simulation results shown in Fig. 3 (from t=0 until t=2000 with the time steps specified at the end of the model section) took 26 min on a single processor Intel Northwood 3.2 GHz.
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    • In the simulations presented in Fig. 3, as well as in the simulations presented below, we chose the standard deviation to be equal 0.05; we note, however, that any other choice of the standard deviation leads to identical results in terms of regular periodic oscillations at late times. More specifically, we compared the evolution of the same system for the cases when we start with the much smaller or larger initial fluctuation (taking the standard deviations within the range from 0.0001 to 0.9) and confirmed that the late-time oscillations always were identical to the ones shown in Fig. 3.
    • In the simulations presented in Fig. 3, as well as in the simulations presented below, we chose the standard deviation to be equal 0.05; we note, however, that any other choice of the standard deviation leads to identical results in terms of regular periodic oscillations at late times. More specifically, we compared the evolution of the same system for the cases when we start with the much smaller or larger initial fluctuation (taking the standard deviations within the range from 0.0001 to 0.9) and confirmed that the late-time oscillations always were identical to the ones shown in Fig. 3.
  • 37
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    • The vertical lines in Fig. 7 between the data points at f= fL* and data points corresponding to regular oscillations (marked with blue, dark blue and green colors online for L=2, 6, and 12, respectively) simply serve as a guide for the eye; there are no simulation data points along these vertical lines.
    • The vertical lines in Fig. 7 between the data points at f= fL* and data points corresponding to regular oscillations (marked with blue, dark blue and green colors online for L=2, 6, and 12, respectively) simply serve as a guide for the eye; there are no simulation data points along these vertical lines.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.