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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Armstrong, M.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024Characteristics Enhancement of Mechanical Properties of Aluminum Metal Matrix Composites Reinforced with Silicon Carbide Using Stir Casting Techniquecitations
  • 2024Evidence of non-isentropic release from high residual temperatures in shocked metals measured with ultrafast x-ray diffraction1citations
  • 2021Observation of Fundamental Mechanisms in Compression-Induced Phase Transformations Using Ultrafast X-ray Diffraction13citations
  • 2018Influences of Deprotanation and Modulation on Nucleation and Growth of UiO-66: Intergrowth and Orientation61citations
  • 2018Nanofiber-Based Matrimid Organogel Membranes for Battery Separator31citations
  • 2018Modeling Nanoparticle Dispersion in Electrospun Fibers. 28citations
  • 2017Metal-organic framework-based sorbents and methods of synthesis thereof.citations
  • 2017Influence of Particle Size and Loading on Particle Accessibility in Electrospun Poly(ethylene oxide) and ZIF-8 Composite Fibers: Experiments and Theory24citations
  • 2016Hierarchical Pore Structures and High ZIF-8 Loading On Matrimid Electrospun Fibers By Additive Removal From A Blended Polymer Precursor23citations

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Chart of shared publication
Sivaneswaran, M.
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Prakash, V. Surya
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Prasad, S. Sathya
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Sankar, B. P. Vishnu
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Kumar, S. Ram
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Stavrou, E.
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Wei, T.
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Goncharov, A.
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Cranados, E.
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Nagler, B.
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Lobanov, S.
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Prakapenka, V.
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Lee, H.
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Prescher, C.
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Brown, S.
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Holtgrewe, N.
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Belof, J.
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Yang, H.
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Gleason, A.
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Austin, R.
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Patel, A.
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Mao, W.
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Nam, I.
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Grivickas, P.
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Walter, P.
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Radousky, H.
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Co-Authors (by relevance)

  • Sivaneswaran, M.
  • Prakash, V. Surya
  • Prasad, S. Sathya
  • Sankar, B. P. Vishnu
  • Kumar, S. Ram
  • Stavrou, E.
  • Wei, T.
  • Goncharov, A.
  • Cranados, E.
  • Nagler, B.
  • Lobanov, S.
  • Prakapenka, V.
  • Lee, H.
  • Prescher, C.
  • Brown, S.
  • Holtgrewe, N.
  • Belof, J.
  • Yang, H.
  • Gleason, A.
  • Austin, R.
  • Patel, A.
  • Mao, W.
  • Nam, I.
  • Grivickas, P.
  • Walter, P.
  • Radousky, H.
OrganizationsLocationPeople

article

Modeling Nanoparticle Dispersion in Electrospun Fibers.

  • Armstrong, M.
Abstract

The quality of nanoparticle dispersion in a polymer matrix significantly influences the macroscopic properties of the composite material. Like general polymer–nanoparticle composites, electrospun nanofiber nanoparticle composites do not have an adopted quantitative model for dispersion throughout the polymer matrix, often relying on a qualitative assessment. Being such an influential property, quantifying dispersion is essential for the process of optimization and understanding the factors influencing dispersion. Here, a simulation model was developed to quantify the effects of nanoparticle volume loading (ϕ) and fiber-to-particle diameter ratios (D/d) on the dispersion in an electrospun nanofiber based on the interparticle distance. A dispersion factor is defined to quantify the dispersion along the polymer fiber. In the dilute regime (ϕ < 20%), three distinct regions of the dispersion factor were defined with the highest quality dispersion shown to occur when geometric constraints limit fiber volume accessibility. This model serves as a standard for comparison for future experimental studies and dispersion models through its comparability with microscopy techniques and as a way to quantify and predict dispersion in electrospinning polymer–nanoparticle systems with a single performance metric.

Topics
  • nanoparticle
  • impedance spectroscopy
  • dispersion
  • polymer
  • simulation
  • composite
  • electrospinning
  • microscopy