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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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.

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1.080 Topics available

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Sarkisov, Lev

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024Improving separation of CH4 and N2 by adsorption on zeolite Y Ion–Exchanged with ammonium Cations13citations
  • 2023Crafted25citations
  • 2022A data-science approach to predict the heat capacity of nanoporous materials80citations
  • 2022A data-science approach to predict the heat capacity of nanoporous materials80citations
  • 2011Multiscale Modelling of Biomembrane Interactions with Nano-Objectscitations
  • 2009Computer simulation of volatile organic compound adsorption in atomistic models of molecularly imprinted polymers65citations
  • 2006The role of diffusion in applications of novel nanoporous materials and in novel uses of traditional materialscitations
  • 2004Molecular modelling of adsorption in novel nanoporous metal-organic materials126citations
  • 2002Lattice model of adsorption in disordered porous materials:78citations

Places of action

Chart of shared publication
Pouya, Es
1 / 1 shared
Arami-Niya, A.
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Peikert, K.
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Sadeghi, P.
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May, Ef
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Hajiahmadi Farmahini, Amir
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Steiner, Mathias
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Ferreira, Rodrigo Neumann Barros
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Luan, Binquan
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Oliveira, Felipe Lopes
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Cleeton, Conor
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Kadioglu, Oezge
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Noe, Frank
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Ortega-Guerrero, Andres
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Moosavi, Seyed Mohamad
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Garcia, Susana
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Moubarak, Elias
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Charalambous, Charithea
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Asgari, Mehrdad
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Smit, Berend
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Ongari, Daniele
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Novotny, Balazs Almos
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Farmahini, Amir H.
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Herdes, Carmelo
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Czaplewski, K. F.
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Snurr, R. Q.
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Snurr, Rq
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Duren, Tina
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Monson, Pa
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Chart of publication period
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Co-Authors (by relevance)

  • Pouya, Es
  • Arami-Niya, A.
  • Peikert, K.
  • Sadeghi, P.
  • May, Ef
  • Hajiahmadi Farmahini, Amir
  • Steiner, Mathias
  • Ferreira, Rodrigo Neumann Barros
  • Luan, Binquan
  • Oliveira, Felipe Lopes
  • Cleeton, Conor
  • Kadioglu, Oezge
  • Noe, Frank
  • Ortega-Guerrero, Andres
  • Moosavi, Seyed Mohamad
  • Garcia, Susana
  • Moubarak, Elias
  • Charalambous, Charithea
  • Asgari, Mehrdad
  • Smit, Berend
  • Ongari, Daniele
  • Novotny, Balazs Almos
  • Farmahini, Amir H.
  • Herdes, Carmelo
  • Czaplewski, K. F.
  • Snurr, R. Q.
  • Snurr, Rq
  • Duren, Tina
  • Monson, Pa
OrganizationsLocationPeople

article

Computer simulation of volatile organic compound adsorption in atomistic models of molecularly imprinted polymers

  • Sarkisov, Lev
  • Herdes, Carmelo
Abstract

Molecularly imprinted polymers (MIPs) offer a unique opportunity to significantly advance volatile organic compound (VOC) sensing technologies and a number of other applications. However, the development of these applications using MIPs has been hindered by poor understanding of the microstructure of MIPs, geometry of binding sites, and the details of molecular recognition processes in these materials. This is further complicated by the vast number of optimization parameters such as building components and processing conditions. Computer simulations and molecular modeling can help us understand adsorption and binding phenomena in MIPs on the molecular level and thus provide a route to more efficient MIP design strategies. So far, molecular models have been either oversimplified or severely limited in length scale, essentially focusing on a single binding site. Here, we propose a more general, atomistically detailed model that describes the microstructure of MIPs. We apply this model to investigate adsorption of pyridine, benzene, and toluene in MIPs and demonstrate that it is able to capture a number of essential experimental features. Therefore, this model can serve as a starting point in computational design and optimization of MIPs.

Topics
  • impedance spectroscopy
  • compound
  • polymer
  • simulation
  • organic compound