Showing 161 - 164 results of 164 for search '(( significant application range ) OR ( significant ((peer decrease) OR (nn decrease)) ))', query time: 0.08s Refine Results
  1. 161

    New insights into the impact of graphene oxide characteristics on foam stability: from bulk behavior to bubble dynamics by Ali U. Chaudhry (19724362)

    Published 2025
    “…Bulk-scale experiments were conducted using GO particles of different lateral sizes: GO ( ∼ 20 μm), GO-son ( ∼ 500 nm), and NGO ( ∼ 20 nm), at concentrations ranging from 70 ppm to 300 ppm. Our results demonstrate that reducing the particle size of GO significantly improves foam stability by promoting the formation of a network of aggregates at the lamellae and Plateau borders, outperforming the foam produced with larger GO variants. …”
  2. 162

    Exploring machine learning approaches for biohydrogen production through dark fermentation in wastewater by Ibrahim Shomope (22928773)

    Published 2025
    “…While ML-driven optimization has significantly improved hydrogen yields, further research is required to refine models, expand datasets, and improve scalability for industrial applications.…”
  3. 163

    A novel design for battery cooling based on highly thermally conductive phase change composites encapsulated by 3D printed polyethylene/boron nitride layer by Safna Nishad (16932474)

    Published 2025
    “…The resulting encapsulated GF_PW composite demonstrates excellent thermal properties crucial for efficient battery cooling: thermal conductivity ranging from 4.5 to 4.6 W/m.°C and latent heat 129.5 to 153.1 J/g, respectively. …”
  4. 164

    Modeling of permeability impairment dynamics in porous media: A machine learning approach by Ahmed, Elrahmani

    Published 2023
    “…Simulation cases encompassing ranges of porous media geometry, fine particle size, flow velocity, fine particle concentration, grains surface roughness, and fines and grains zeta potential. …”
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