Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Chang, Kai

  • Google
  • 4
  • 8
  • 39

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2015Modeling of Highly Branched Water‐Soluble Polymers with Applications to Drug Delivery Model Extensions and Validation1citations
  • 2013Structural optimization of highly branched thermally responsive polymers as a means of controlling transition temperature12citations
  • 2012Engineering a sharp physiological transition state for poly(<i>n</i>‐isopropylacrylamide) through structural control13citations
  • 2011Mathematical Modeling of Hyperbranched Water‐soluble Polymers with Applications in Drug Delivery13citations

Places of action

Chart of shared publication
Schork, Francis Joseph
1 / 1 shared
Dyke, Robert Van
1 / 1 shared
Kim, Seung Yeon
1 / 2 shared
Rubright, Nathan C.
1 / 1 shared
Lowery, Patti D.
1 / 1 shared
Dicke, Zachary T.
1 / 1 shared
Zargar, Amin
1 / 1 shared
Schork, F. Joseph
1 / 1 shared
Chart of publication period
2015
2013
2012
2011

Co-Authors (by relevance)

  • Schork, Francis Joseph
  • Dyke, Robert Van
  • Kim, Seung Yeon
  • Rubright, Nathan C.
  • Lowery, Patti D.
  • Dicke, Zachary T.
  • Zargar, Amin
  • Schork, F. Joseph
OrganizationsLocationPeople

article

Mathematical Modeling of Hyperbranched Water‐soluble Polymers with Applications in Drug Delivery

  • Zargar, Amin
  • Schork, F. Joseph
  • Chang, Kai
Abstract

<jats:title>Abstract</jats:title><jats:p>Although the method of moments has been used to determine the properties of copolymerizations, accounting for branching has either been ignored or required multiple dimensions to simulate. In this work, we extend our previous modeling efforts to account for hyperbranching, a form of polymerization that is particularly useful in the synthesis of targeted delivery vehicles capable of encapsulating drugs for localized therapeutics, without invoking higher dimension moment treatments. Specifically, the case of RAFT polymerization with a polymerizable double bond incorporated into the RAFT agent is modeled. This gives a very highly‐branched material without the complexity of dendrimer synthesis. The model is then used to simulate three copolymerizations that illustrate the power of this model to accurately predict the copolymer properties and illustrate the polydispersity of the individual segments of the hyperbranched polymer, and the overall hyperbranched polymer. This paper models three different hyperbranched copolymer blends: acrylamide–acrylic acid, acrylonitrile–methacrylic acid, and ethylene–styrene. The first case is of specific interest in the development of hyperbranched polymers for drug delivery. The other two are included in order to explore the effects of specific kinetics on branching. <jats:boxed-text content-type="graphic" position="anchor"><jats:graphic xmlns:xlink="http://www.w3.org/1999/xlink" mimetype="image/jpeg" position="anchor" specific-use="enlarged-web-image" xlink:href="graphic/mgra001.jpg"><jats:alt-text>magnified image</jats:alt-text></jats:graphic></jats:boxed-text> </jats:p>

Topics
  • impedance spectroscopy
  • copolymer
  • dendrimer
  • polydispersity