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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University of Bath

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2022Metal Oxide Foams for Pharmaceutical Amorphizationcitations
  • 2018Crystallization processes in bi-component thin film depositions::towards a realistic Kinetic Monte-Carlo simulation4citations
  • 2018Crystallization processes in bi-component thin film depositions:4citations
  • 2009Computer simulation of volatile organic compound adsorption in atomistic models of molecularly imprinted polymers65citations

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Chart of shared publication
Martínez-Martínez, Diego
2 / 2 shared
Vega, Lourdes F.
2 / 6 shared
Sarkisov, Lev
1 / 9 shared
Chart of publication period
2022
2018
2009

Co-Authors (by relevance)

  • Martínez-Martínez, Diego
  • Vega, Lourdes F.
  • Sarkisov, Lev
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