Search Results - "Elgersma, Scott V"

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  1. 1

    Self-assembly/disassembly hysteresis of nanoparticles composed of marginally soluble, short elastin-like polypeptides by Bahniuk, Markian S, Alshememry, Abdullah K, Elgersma, Scott V, Unsworth, Larry D

    Published in Journal of nanobiotechnology (17-02-2018)
    “…Elastin-like polypeptides (ELPs) are a fascinating biomaterial that has undergone copious development for a variety of therapeutic applications including as a…”
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    Journal Article
  2. 2

    Charge and Peptide Concentration as Determinants of the Hydrogel Internal Aqueous Environment by Elgersma, Scott V, Ha, Michelle, Yang, Jung-Lynn Jonathan, Michaelis, Vladimir K, Unsworth, Larry D

    Published in Materials (12-03-2019)
    “…Self-assembling peptides are a promising class of biomaterials with desirable biocompatibility and versatility. In particular, the oligopeptide (RADA)₄,…”
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    Journal Article
  3. 3

    Quantifying Liquid-Solid Mass Transfer in a Trickle Bed Using T2-T2 Relaxation Exchange NMR by Elgersma, Scott V., Zheng, Qingyuan, Avrantinis, Nikolaos, Sederman, Andrew J., Mantle, Michael D., Gladden, Lynn F.

    Published in Applied magnetic resonance (01-12-2023)
    “…Measurement of the liquid-solid mass transfer coefficient within a trickle bed (i.e. gas-liquid flow within a packed bed) of porous silica pellets is achieved…”
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    Journal Article
  4. 4

    Effect of Tube-to-Pellet Diameter Ratio on Turbulent Hydrodynamics in Packed Beds: A Magnetic Resonance Velocity Imaging Study by Elgersma, Scott V., Sederman, Andrew J., Mantle, Michael D., Guédon, Constant M., Wells, Gary J., Gladden, Lynn F.

    Published in Applied magnetic resonance (01-12-2023)
    “…The hydrodynamics in packed reactors strongly influences reactor performance. However, limited experimental techniques are capable of non-invasively measuring…”
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  5. 5

    Measuring the liquid-solid mass transfer coefficient in packed beds using T2-T2 relaxation exchange NMR by Elgersma, Scott V., Sederman, Andrew J., Mantle, Michael D., Gladden, Lynn F.

    Published in Chemical engineering science (02-02-2022)
    “…•Direct measurement of liquid–solid mass transfer coefficient in a packed bed.•Novel method for measuring mass transfer coefficient using relaxation exchange…”
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  6. 6
  7. 7

    Investigating the coupling between transport and reaction within a catalyst pellet using operando magnetic resonance spectroscopic imaging by Elgersma, Scott V., Ward-Williams, Jordan A., Zheng, Qingyuan, Sederman, Andrew J., Mantle, Michael D., Guédon, Constant M., Gladden, Lynn F.

    Published in Catalysis today (15-03-2024)
    “…In heterogeneous catalysis, the distribution of reactant and product species within a catalyst pellet are of central importance to the catalyst performance,…”
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  8. 8

    Magnetic resonance velocity imaging of turbulent gas flow in a packed bed of catalyst support pellets by Elgersma, Scott V., Sederman, Andrew J., Mantle, Michael D., Guédon, Constant M., Wells, Gary J., Gladden, Lynn F.

    “…[Display omitted] •Magnetic resonance velocity imaging of turbulent gas flow in a packed bed.•Time-average velocity and turbulent kinetic energy fields…”
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  9. 9

    Operando characterisation of the products of Fischer-Tropsch synthesis in a fixed-bed reactor studied by magnetic resonance by Zheng, Qingyuan, Williams, Jack H., Elgersma, Scott V., Mantle, Mick D., Sederman, Andrew J., Bezemer, G. Leendert, Guédon, Constant M., Gladden, Lynn F.

    Published in Catalysis today (15-02-2024)
    “…Operando measurement of catalyst performance presents many difficulties as it is necessary to obtain measurements at reaction temperature and pressure and also…”
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  10. 10

    The effect of pellet shape on turbulent hydrodynamics in narrow packed beds: A magnetic resonance velocity imaging study by Elgersma, Scott V., Sederman, Andrew J., Mantle, Michael D., Guédon, Constant M., Wells, Gary J., Gladden, Lynn F.

    “…3D visualization of gas velocity magnitude in packed beds of various pellet shapes as measured by magnetic resonance velocity imaging (clockwise from top left:…”
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  11. 11

    Quantifying Liquid-Solid Mass Transfer in a Trickle Bed Using $${T}_{2}-{T}_{2}$$ Relaxation Exchange NMR by Elgersma, Scott V., Zheng, Qingyuan, Avrantinis, Nikolaos, Sederman, Andrew J., Mantle, Michael D., Gladden, Lynn F.

    Published in Applied magnetic resonance (01-12-2023)
    “…Abstract Measurement of the liquid-solid mass transfer coefficient within a trickle bed (i.e. gas-liquid flow within a packed bed) of porous silica pellets is…”
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    Journal Article
  12. 12

    Operando magnetic resonance imaging of product distributions within the pores of catalyst pellets during Fischer–Tropsch synthesis by Zheng, Qingyuan, Williams, Jack, van Thiel, Léonard R., Elgersma, Scott V., Mantle, Mick D., Sederman, Andrew J., Baart, Timothy A., Bezemer, G. Leendert, Guédon, Constant M., Gladden, Lynn F.

    Published in Nature catalysis (01-02-2023)
    “…The optimization of a heterogeneous catalytic process requires characterization of the catalyst at industrially relevant conditions and length scales. Here we…”
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  13. 13

    Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning by Kontogiannis, Alexandros, Elgersma, Scott V, Sederman, Andrew J, Juniper, Matthew P

    Published 26-06-2024
    “…We formulate and solve a Bayesian inverse Navier-Stokes (N-S) problem that assimilates velocimetry data in order to jointly reconstruct a 3D flow field and…”
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  14. 14

    Joint reconstruction and segmentation of noisy velocity images as an inverse Navier-Stokes problem by Kontogiannis, Alexandros, Elgersma, Scott V, Sederman, Andrew J, Juniper, Matthew P

    Published 04-07-2022
    “…Journal of Fluid Mechanics, 2022 We formulate and solve a generalized inverse Navier-Stokes problem for the joint velocity field reconstruction and boundary…”
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