Materials Map

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

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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.

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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.

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Carbone, Paola

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2019Calculation of the work of adhesion of polyisoprene on graphite by molecular dynamics simulations19citations
  • 2019Amphiphilic copolymers change the nature of the ordered-to-disordered phase transition of lipid membranes from discontinuous to continuous10citations
  • 2018Computational Characterisation of Dried and Hydrated Graphene Oxide Membranes35citations
  • 2017Reversible structural transition in nanoconfined ice29citations
  • 2009Backmapping coarse-grained polymer models under sheared nonequilibrium conditions34citations
  • 2009Backmapping coarse-grained polymer models under sheared nonequilibrium conditions34citations
  • 2008Hydrogen bonding and dynamic crossover in polyamide-66: A molecular dynamics simulation study56citations
  • 2007Viscosity and structural alteration of a coarse-grained model of polystyrene under steady shear flow studied by reverse nonequilibrium molecular dynamics39citations
  • 2006Glass transition temperature and chain flexibility of ethylene-norbornene copolymers from molecular dynamics simulations11citations
  • 2003Ab initio molecular modeling of 13C NMR chemical shifts of polymers. 2. Propene-norbornene copolymers27citations
  • 2002Ab initio molecular modeling of 13C NMR chemical shifts of polymers. 1. Ethylene-norbornene copolymers10citations

Places of action

Chart of shared publication
Chiricotto, M.
1 / 1 shared
Giunta, G.
1 / 1 shared
Karimi-Varzaneh, H. A.
1 / 1 shared
Zaki, Afroditi Maria
1 / 1 shared
Siperstein, Flor
1 / 5 shared
Williams, Christopher D.
1 / 3 shared
Beheshtian, J.
1 / 2 shared
Dix, James
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Hadadi, F.
1 / 2 shared
Satarifard, V.
1 / 2 shared
Neek-Amal, M.
1 / 2 shared
Mousaei, M.
1 / 2 shared
Fernandez, M. Sobrino
1 / 1 shared
Peeters, F. M.
1 / 7 shared
Milano, Giuseppe
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Müller-Plathe, Florian
4 / 6 shared
Matteo, Andrea Di
1 / 1 shared
Santangelo, Giuseppe
2 / 2 shared
Chen, Xiaoyu
3 / 3 shared
Di Matteo, Andrea
1 / 1 shared
Karimi-Varzaneh, Hossein Ali
1 / 1 shared
Cavalcanti, Welchy L.
1 / 1 shared
Ferro, Dino R.
2 / 2 shared
Tritto, Incoronata
2 / 3 shared
Rapallo, Arnaldo
1 / 1 shared
Ragazzi, Massimo
2 / 2 shared
Boggioni, Laura
1 / 3 shared
Zyubina, Tatyana S.
1 / 1 shared
Ryabenko, Alexander G.
1 / 1 shared
Budyka, Mikhayl F.
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Chiricotto, M.
  • Giunta, G.
  • Karimi-Varzaneh, H. A.
  • Zaki, Afroditi Maria
  • Siperstein, Flor
  • Williams, Christopher D.
  • Beheshtian, J.
  • Dix, James
  • Hadadi, F.
  • Satarifard, V.
  • Neek-Amal, M.
  • Mousaei, M.
  • Fernandez, M. Sobrino
  • Peeters, F. M.
  • Milano, Giuseppe
  • Müller-Plathe, Florian
  • Matteo, Andrea Di
  • Santangelo, Giuseppe
  • Chen, Xiaoyu
  • Di Matteo, Andrea
  • Karimi-Varzaneh, Hossein Ali
  • Cavalcanti, Welchy L.
  • Ferro, Dino R.
  • Tritto, Incoronata
  • Rapallo, Arnaldo
  • Ragazzi, Massimo
  • Boggioni, Laura
  • Zyubina, Tatyana S.
  • Ryabenko, Alexander G.
  • Budyka, Mikhayl F.
OrganizationsLocationPeople

article

Ab initio molecular modeling of 13C NMR chemical shifts of polymers. 1. Ethylene-norbornene copolymers

  • Carbone, Paola
  • Zyubina, Tatyana S.
  • Ryabenko, Alexander G.
  • Budyka, Mikhayl F.
Abstract

Cycloolefin copolymers (COC) have recently raised much interest because of their excellent thermal and optical properties, largely determined by the chain composition and stereochemistry. Previous force-field computations allowed us to define the main conformational characteristics of ethylene-norbornene (E-N) copolymers and to contribute to the elucidation of their microstructure on the basis of empirical relationships between conformation and 13C nuclear magnetic resonance (NMR) chemical shifts. A thorough test of ab initio 13C chemical shifts computations [gauge-invariant atomic orbitals (GIAO)] on known cases shows that the agreement with experimental data is quite good, especially with the MPW1PW91 density functional theory (DFT), using the 6-311 + G(2d,p) basis set on properly energy-minimized structures. We applied this method on proper model compounds to confirm the signal assignment of the spectra of E-N copolymers in the presence of norbornene microblocks, where strong effects arising from ring distortions are expected to occur. The results nicely confirm the latest assignment of norbornene signals belonging to ENNE sequences. This shows the great potentialities of GIAO/DFT computations with regard to complex spectra interpretation and polymer microstructural investigations.

Topics
  • density
  • impedance spectroscopy
  • compound
  • theory
  • density functional theory
  • copolymer
  • Nuclear Magnetic Resonance spectroscopy