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Nicholas A. Peppas

Researcher at University of Texas at Austin

Publications -  840
Citations -  101193

Nicholas A. Peppas is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Self-healing hydrogels & Polymer. The author has an hindex of 141, co-authored 825 publications receiving 90533 citations. Previous affiliations of Nicholas A. Peppas include National Technical University & University of Texas System.

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Reaction kinetics and chemical changes during polymerization of multifunctional (meth)acrylates for the production of highly crosslinked polymers used in information storage systems

TL;DR: In this article, crosslinked polymer samples of a wide range of triacrylates, tetraacrylsates, pentaacrylnates and their corresponding methacryllates were prepared by u.v. photopolymerization of the monomers using 2,2-dimethoxy-2-phenyl-acetophenone as a photoinitiator.
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Mimicking Biological Delivery Through Feedback-Controlled Drug Release Systems Based on Molecular Imprinting.

TL;DR: Recent work in the area of molecularly imprinted polymers in drug delivery highlights the potential of these recognitive networks as environmentally responsive DDS that can ultimately lead to feedback controlled recognitive release systems.
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Effect of degree of crosslinking on water transport in polymer microparticles

TL;DR: In this paper, the water transport in microparticles of poly(2-hydroxyethyl methacrylate) crosslinked with small amounts of ethylene glycol dimethacrylated was investigated as a function of time.
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Temperature-responsive polymer-gold nanocomposites as intelligent therapeutic systems.

TL;DR: A thermally responsive polymer-metal nanocomposite system comprised of a solid gold nanoparticle core and thermallyresponsive interpenetrating polymer network (IPN) shell, which was surface functionalized or PEGylated with a covalently bound linear poly(ethylene glycol) chain layer.
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Crystal dissolution-controlled release systems: I. Physical characteristics and modeling analysis

TL;DR: In this paper, a mathematical model is proposed to predict drug release rates from semicrystalline polymer systems, while taking into account the dissolution of the crystals when brought into contact with water.