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José Alberto Maroto-Centeno

Researcher at University of Jaén

Publications -  13
Citations -  466

José Alberto Maroto-Centeno is an academic researcher from University of Jaén. The author has contributed to research in topics: Nanogel & Electrostatics. The author has an hindex of 7, co-authored 10 publications receiving 407 citations.

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Gel swelling theories: the classical formalism and recent approaches

TL;DR: In this paper, the classical theory of polymer/polyelectrolyte gel swelling is reviewed and the application to experimental swelling data (of both gels and microgels) is also reviewed.
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Effect of the Counterion Valence on the Behavior of Thermo-Sensitive Gels and Microgels: A Monte Carlo Simulation Study

TL;DR: In this paper, the effect of counterion valence on the behavior of polyelectrolyte gels and microgels is studied through computer simulations and it is shown that the swelling effect of multivalent species is smaller than in the case of monovalent counterions and therefore lower temperatures are required for the hydrophobic collapse of the polymer network.
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Charge reversal in real colloids: Experiments, theory and simulations

TL;DR: In this paper, the authors investigated the charge reversal of latex particles in the presence of asymmetric electrolytes through Monte Carlo (MC) simulations and compared the results with simulations in which two alternative methods for evaluating energies have been applied.
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Interaction between Ideal Neutral Nanogels: A Monte Carlo Simulation Study

TL;DR: This work has performed explicit coarse-grained Monte Carlo simulations to find out if these models can capture the interactions between overlapping neutral nanogels and the soft-sphere and Hertz potentials.
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Size-exclusion partitioning of neutral solutes in crosslinked polymer networks: a Monte Carlo simulation study.

TL;DR: The results suggest that the fiber model can acceptably account for size-exclusion effects in crosslinked gels and prove that the pore sizes obtained by fitting partitioning data of swollen gels are overestimated.