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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Sefcik, Jan

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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2023Machine Learning-Derived Correlations for Scale-Up and Technology Transfer of Primary Nucleation Kinetics.citations
  • 2023Machine learning derived correlations for scale-up and technology transfer of primary nucleation kinetics8citations
  • 2019Measuring secondary nucleation through single crystal seeding24citations
  • 2018Enabling precision manufacturing of active pharmaceutical ingredients81citations
  • 2017Kinetics of early stages of resorcinol-formaldehyde polymerization investigated by solution phase nuclear magnetic resonance spectroscopy18citations
  • 2013250 nm glycine-rich nanodroplets are formed on dissolution of glycine crystals but are too small to provide productive nucleation sites70citations
  • 2011Structure of laponite-styrene precursor dispersions for production of advanced polymer-clay nanocomposites7citations
  • 2009Characterization of arsenic-rich waste slurries generated during GaAs wafer lapping and polishingcitations
  • 2008Formation of valine microcrystals through rapid antisolvent precipitation3citations
  • 2003Monte Carlo simulations of size and structure of gel precursors in silica polycondensation20citations

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Chart of shared publication
Ter Horst, Joop H.
1 / 2 shared
Papageorgiou, Charles D.
2 / 2 shared
Houson, Ian Nicholas
1 / 1 shared
Florence, Alastair J.
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Yerdelen, Stephanie
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Mitchell, Chris
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Brown, Cameron J.
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Yang, Yihui
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Quon, Justin L.
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Florence, Alastair
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Houson, Ian
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Ter Horst, Joop
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Briuglia, Maria Lucia
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Parkinson, John Andrew
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Gaca, Katarzyna Z.
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Jawor-Baczynska, Anna
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Moore, Barry
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Pethrick, Richard
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Sweatman, Martin
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Fartaria, Rui
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Javid, Nadeem
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Liggat, John J.
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Hursthouse, Andrew S.
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Keenan, Helen
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Torrance, Keith
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Variny, Miroslav
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Miguel, Sandra Alvarez De
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Rankin, S. E.
1 / 1 shared
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Co-Authors (by relevance)

  • Ter Horst, Joop H.
  • Papageorgiou, Charles D.
  • Houson, Ian Nicholas
  • Florence, Alastair J.
  • Yerdelen, Stephanie
  • Mitchell, Chris
  • Brown, Cameron J.
  • Yang, Yihui
  • Quon, Justin L.
  • Florence, Alastair
  • Houson, Ian
  • Ter Horst, Joop
  • Briuglia, Maria Lucia
  • Parkinson, John Andrew
  • Gaca, Katarzyna Z.
  • Jawor-Baczynska, Anna
  • Moore, Barry
  • Pethrick, Richard
  • Sweatman, Martin
  • Fartaria, Rui
  • Javid, Nadeem
  • Liggat, John J.
  • Hursthouse, Andrew S.
  • Keenan, Helen
  • Torrance, Keith
  • Variny, Miroslav
  • Miguel, Sandra Alvarez De
  • Rankin, S. E.
OrganizationsLocationPeople

article

Monte Carlo simulations of size and structure of gel precursors in silica polycondensation

  • Rankin, S. E.
  • Sefcik, Jan
Abstract

<p>Sol-gel processing provides a useful route to novel metastable materials such as molecular hybrids of silica and either transition metal oxides or organic components. Because the properties of these materials depend critically on how the components are combined, we present calculations of the size and structure of silica building blocks that may be prepared as precursors to nanocomposites. By fitting existing silicon-29 NMR data, we find kinetic parameters applicable for acid catalyzed hydrolytic polycondensation of tetraethoxysilane and tetramethoxysilane precursors. In a wide range of conditions, the local connectivity of silicon sites evolves in approximately the same way with respect to the siloxane bond conversion. Using dynamic Monte Carlo simulations, including nearest-neighbor effects and cyclization, we calculate the molecular weight distribution of silica as a function of conversion, in reasonable agreement with available experiments. At low siloxane bond conversions (alpha less than or equal to 0.6) the mass weighted degree of polymerization DPw is less than 10. When enough water for alkoxide hydrolysis is available, gel precursors containing 8-20 silicon sites form quickly up to conversion alpha = 0.65-0.75 and then slowly react together until gelling at alpha = 0.82. The calculated distributions provide a quantitative road map for forming composite materials with well-defined silica blocks, where the siloxane bond conversion can be used as an indicator of the progress of structure development.</p>

Topics
  • nanocomposite
  • impedance spectroscopy
  • experiment
  • simulation
  • laser emission spectroscopy
  • Silicon
  • forming
  • molecular weight
  • Nuclear Magnetic Resonance spectroscopy