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Dive into the research topics where Shaghayegh Khani is active.

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Featured researches published by Shaghayegh Khani.


Journal of Chemical Physics | 2015

Generalized mapping of multi-body dissipative particle dynamics onto fluid compressibility and the Flory-Huggins theory

Safa Jamali; Arman Boromand; Shaghayegh Khani; Jacob W. Wagner; Mikio Yamanoi; João M. Maia

In this work, a generalized relation between the fluid compressibility, the Flory-Huggins interaction parameter (χ), and the simulation parameters in multi-body dissipative particle dynamics (MDPD) is established. This required revisiting the MDPD equation of state previously reported in the literature and developing general relationships between the parameters used in the MDPD model. We derive a relationship to the Flory-Huggins χ parameter for incompressible fluids similar to the work previously done in dissipative particle dynamics by Groot and Warren. The accuracy of this relationship is evaluated using phase separation in small molecules and the solubility of polymers in dilute solvent solutions via monitoring the scaling of the radius of gyration (Rg) for different solvent qualities. Finally, the dynamics of the MDPD fluid is studied with respect to the diffusion coefficient and the zero shear viscosity.


Journal of Chemical Physics | 2013

The Lowe-Andersen thermostat as an alternative to the dissipative particle dynamics in the mesoscopic simulation of entangled polymers

Shaghayegh Khani; Mikio Yamanoi; João M. Maia

Dissipative Particle Dynamics (DPD) has shown a great potential in studying the dynamics and rheological properties of soft matter; however, it is associated with deficiencies in describing the characteristics of entangled polymer melts. DPD deficiencies are usually correlated to the time integrating method and the unphysical bond crossings due to utilization of soft potentials. One shortcoming of DPD thermostat is the inability to produce real values of Schmidt number for fluids. In order to overcome this, an alternative Lowe-Anderson (LA) method, which successfully stabilizes the temperature, is used in the present work. Additionally, a segmental repulsive potential was introduced to avoid unphysical bond crossings. The performance of the method in simulating polymer systems is discussed by monitoring the static and dynamic characteristics of polymer chains and the results from the LA method are compared to standard DPD simulations. The performance of the model is evaluated on capturing the main shear flow properties of entangled polymer systems. Finally the linear and nonlinear viscoelastic properties of such systems are discussed.


ACS central science | 2017

Biomimetic Reversible Heat-Stiffening Polymer Nanocomposites

Elvis Cudjoe; Shaghayegh Khani; Amanda E. Way; Michael J. A. Hore; João M. Maia; Stuart J. Rowan

Inspired by the ability of the sea cucumber to (reversibly) increase the stiffness of its dermis upon exposure to a stimulus, we herein report a stimuli-responsive nanocomposite that can reversibly increase its stiffness upon exposure to warm water. Nanocomposites composed of cellulose nanocrystals (CNCs) that are grafted with a lower critical solution temperature (LCST) polymer embedded within a poly(vinyl acetate) (PVAc) matrix show a dramatic increase in modulus, for example, from 1 to 350 MPa upon exposure to warm water, the hypothesis being that grafting the polymers from the CNCs disrupts the interactions between the nanofibers and minimizes the mechanical reinforcement of the film. However, exposure to water above the LCST leads to the collapse of the polymer chains and subsequent stiffening of the nanocomposite as a result of the enhanced CNC interactions. Backing up this hypothesis are energy conserving dissipative particle dynamics (EDPD) simulations which show that the attractive interactions between CNCs are switched on upon the temperature-induced collapse of the grafted polymer chains, resulting in the formation of a percolating reinforcing network.


Soft Matter | 2015

Polymer-mediated nanorod self-assembly predicted by dissipative particle dynamics simulations

Shaghayegh Khani; Safa Jamali; Arman Boromand; Michael J. A. Hore; João M. Maia


Computer Physics Communications | 2015

Gaussian-inspired auxiliary non-equilibrium thermostat (GIANT) for Dissipative Particle Dynamics simulations

Safa Jamali; Arman Boromand; Shaghayegh Khani; João M. Maia


Bulletin of the American Physical Society | 2014

Mesoscale simulation of entangled polymers: Part II. Lowe-Andersen thermostat

Shaghayegh Khani; Mikio Yamanoi; João M. Maia


Archive | 2017

COMPUTATIONAL MODELING OF POLYMER MELTS AND COMPOSITES

Shaghayegh Khani


Bulletin of the American Physical Society | 2017

Biomimetic Thermo-Responsive Polymer Nano-Composites.

João M. Maia; Shaghayegh Khani; Elvis Cudjoe; Stuart J. Rowan


Bulletin of the American Physical Society | 2015

Effect of flow on Janus rods organization in polymer blends

Shaghayegh Khani; Safa Jamali; Arman Boromand; João M. Maia


Bulletin of the American Physical Society | 2015

Dispersion/Aggregation of polymer grafted nanorods in a polymer matrix studied by Dissipative Particle Dynamics

João M. Maia; Shaghayegh Khani

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João M. Maia

Case Western Reserve University

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Arman Boromand

Case Western Reserve University

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Safa Jamali

Case Western Reserve University

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Elvis Cudjoe

Case Western Reserve University

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Michael J. A. Hore

Case Western Reserve University

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Stuart J. Rowan

Case Western Reserve University

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Amanda E. Way

Case Western Reserve University

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