2017
DOI: 10.1080/02678292.2017.1346826
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Orientational ordering of nanorods in diblock copolymers

Abstract: Orientational ordering of rod-like nanoparticles in the lamellae phase of diblock copolymers has been considered theoretically using the model of a nanoparticle with two interaction centres. It has been shown that strongly anisotropic nanoparticles order spontaneously in the boundary region between the blocks where the orientational order is induced by the interface and by the interaction

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Cited by 4 publications
(9 citation statements)
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“…Such a procedure is cumbersome and computationally challenging. On the other hand, the numerical integration can be dramatically simplified by using the following interpolated mean-field potential [37] which is qualitatively valid in the whole range of z and θ:…”
Section: Molecular Theory Of Diblock Copolymer Nanocomposites Witmentioning
confidence: 99%
See 3 more Smart Citations
“…Such a procedure is cumbersome and computationally challenging. On the other hand, the numerical integration can be dramatically simplified by using the following interpolated mean-field potential [37] which is qualitatively valid in the whole range of z and θ:…”
Section: Molecular Theory Of Diblock Copolymer Nanocomposites Witmentioning
confidence: 99%
“…Symmetric nanoparticles also possess strong orientational order in the boundary region but their orientational order parameter S changes sign at the boundary. This sign reversal can be explained in the following way [37]. Let us consider a symmetric nnaoparticle located sufficiently close to the boundary.…”
Section: Order Parameter and Density Profiles Of Janus Nanopar-tmentioning
confidence: 99%
See 2 more Smart Citations
“…In our recent theoretical paper [38], a dumbbell NP has been considered, which is composed of two equal spheres separated by a certain distance and interacting individually with the monomers. Such a model NP possesses an anisotropic shape and is rather similar to the model NR, composed of several rigidly connected spheres, which was employed in the computer simulations [37].…”
Section: Introductionmentioning
confidence: 99%