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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Mulheran, Paul

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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023Filler-induced heterogeneous nucleation of polymer crystals investigated by molecular dynamics simulations7citations
  • 2022Controlling urea crystallisation via heterogeneous nucleationcitations
  • 2022Polyhydroxybutyrate32citations
  • 2021Advancing computational analysis of porous materials – modelling three-dimensional gas adsorption in organic gels3citations
  • 2018The energy landscape of negatively charged BSA adsorbed on a negatively charged silica surface26citations
  • 2009Surface and interstitial transition barriers in rutile (110) surface growth17citations
  • 2008New insights on growth mechanisms of protein clusters at surfaces35citations

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Johnston, Karen
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Wadkin-Snaith, Dominic
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Anker, Samira
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Mckechnie, David
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Majerczak, Katarzyna
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Magueijo, Vitor
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Liggat, John J.
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Fletcher, Ashleigh
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Martin, Elisha
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Tokarczyk, Karolina
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Kubiak-Ossowska, Karina
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Browne, C.
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Sanville, E. J.
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Kenny, S. D.
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Vernon, L. J.
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Moghaddam, Y.
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Smith, R.
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Bennett, R. A.
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Green, R. J.
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Pellenc, D.
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Sperrin, M.
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Co-Authors (by relevance)

  • Johnston, Karen
  • Wadkin-Snaith, Dominic
  • Anker, Samira
  • Mckechnie, David
  • Majerczak, Katarzyna
  • Magueijo, Vitor
  • Liggat, John J.
  • Fletcher, Ashleigh
  • Martin, Elisha
  • Prostredny, Martin
  • Tokarczyk, Karolina
  • Kubiak-Ossowska, Karina
  • Jachimska, Barbara
  • Browne, C.
  • Sanville, E. J.
  • Kenny, S. D.
  • Vernon, L. J.
  • Moghaddam, Y.
  • Smith, R.
  • Bennett, R. A.
  • Green, R. J.
  • Pellenc, D.
  • Sperrin, M.
OrganizationsLocationPeople

article

New insights on growth mechanisms of protein clusters at surfaces

  • Bennett, R. A.
  • Green, R. J.
  • Mulheran, Paul
  • Pellenc, D.
  • Sperrin, M.
Abstract

Despite its relevance to a wide range of technological and fundamental areas, a quantitative understanding of protein surface clustering dynamics is often lacking. In inorganic crystal growth, surface clustering of adatoms is well described by diffusion-aggregation models. In such models, the statistical properties of the aggregate arrays often reveal the molecular scale aggregation processes. We investigate the potential of these theories to reveal hitherto hidden facets of protein clustering by carrying out concomitant observations of lysozyme adsorption onto mica surfaces, using atomic force microscopy. and Monte Carlo simulations of cluster nucleation and growth. We find that lysozyme clusters diffuse across the substrate at a rate that varies inversely with size. This result suggests which molecular scale mechanisms are responsible for the mobility of the proteins on the substrate. In addition the surface diffusion coefficient of the monomer can also be extracted from the comparison between experiments and simulations. While concentrating on a model system of lysozyme-on-mica, this 'proof of concept' study successfully demonstrates the potential of our approach to understand and influence more biomedically applicable protein-substrate couples.

Topics
  • impedance spectroscopy
  • surface
  • cluster
  • mobility
  • experiment
  • simulation
  • atomic force microscopy
  • clustering
  • concentrating