2003
DOI: 10.1021/ma0213854
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Phase Transitions of Bulk Statistical Copolymers Studied by Dynamic Monte Carlo Simulations

Abstract: We report a numerical study of crystallization and melting in bulk statistical homogeneous (random), homogeneous (slightly alternating), and heterogeneous (produced in a batch reaction) copolymers formed by crystallizable monomers and noncrystallizable comonomers. In our dynamic Monte Carlo simulations of lattice chains, the current model further assumes that the comonomers cannot move into crystalline regions by sliding diffusion of the chains. We find that both the overall composition and the statistical dis… Show more

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Cited by 46 publications
(66 citation statements)
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“…To locate the transition point from melt to crystal, we calculate specific heat ( v C ) as equilibrium specific heat from the total energy fluctuations in the simulation box. 42,52,53 To locate the …”
Section: Modelling and Simulation Techniquementioning
confidence: 99%
“…To locate the transition point from melt to crystal, we calculate specific heat ( v C ) as equilibrium specific heat from the total energy fluctuations in the simulation box. 42,52,53 To locate the …”
Section: Modelling and Simulation Techniquementioning
confidence: 99%
“…23 In contrast, Hu et al 29 used MC simulations to examine copolymer crystallization and were able to successfully reproduce experimentally observed, nontrivial trends such as the influence of comonomer content on the development of crystallinity on cooling, etc. Therefore, we use a dynamic MC ͑DMC͒ methodology similar to that of Hu et al [27][28][29] to address the crystallization of homopolymer melts containing additives. We now describe our simulation technique in detail.…”
Section: Model and Simulation Techniquementioning
confidence: 99%
“…We arbitrarily define a bond as crystalline if it is surrounded by more than five nearest nonbonded parallel bonds in a manner similar to that of Hu et al 29 Crystallinity is defined as the ratio of the number of crystalline bonds to the total number of bonds in the system. A crystallite is a contiguous aggregate of crystalline bonds with the same orientation.…”
Section: Model and Simulation Techniquementioning
confidence: 99%
See 1 more Smart Citation
“…solubility [1], crystallinity [2] and glass transition temperature (Tg) [3] in order to create new materials of scientific interest as well as diverse applications, such as drug transfer systems [4], photoresists for lithography [5] and smart materials [6]. Its utility is stressed by the large number of commercial applications and investigations that have been conducted to correlate the structure with the properties of the materials [3], [7].…”
Section: Introductionmentioning
confidence: 99%