Showing 1 - 20 results of 5,089 for search '(( c larger decrease ) OR ((( via ((peer decrease) OR (a decrease)) ) OR ( a marked decrease ))))', query time: 0.71s Refine Results
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    Modeling the Shape and Stability of Co Nanoparticles as a Function of Size and Support Interactions through DFT Calculations and Monte Carlo Simulations by Enrico Sireci (12127349)

    Published 2025
    “…We make use of a lattice model where the energy of Co atoms is estimated based on their first-shell coordination number (CN), an approach that was validated via DFT calculations. …”
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    Sodium Carboxymethyl Starch Films with Enhanced Cross-Linking, Electrical, and Mechanical Properties via Supercritical-Assisted Modification by Mingge Wang (16859159)

    Published 2025
    “…Mechanically, Young’s modulus decreased to 35.5% of its original value (from 203.50 to 71.15 MPa), while the elongation at break increased 5-fold (from 11.5 to 56.7%), transitioning CMS-Na from a rigid, brittle material to a ductile, flexible one. …”
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    Sodium Carboxymethyl Starch Films with Enhanced Cross-Linking, Electrical, and Mechanical Properties via Supercritical-Assisted Modification by Mingge Wang (16859159)

    Published 2025
    “…Mechanically, Young’s modulus decreased to 35.5% of its original value (from 203.50 to 71.15 MPa), while the elongation at break increased 5-fold (from 11.5 to 56.7%), transitioning CMS-Na from a rigid, brittle material to a ductile, flexible one. …”
  14. 14

    Sodium Carboxymethyl Starch Films with Enhanced Cross-Linking, Electrical, and Mechanical Properties via Supercritical-Assisted Modification by Mingge Wang (16859159)

    Published 2025
    “…Mechanically, Young’s modulus decreased to 35.5% of its original value (from 203.50 to 71.15 MPa), while the elongation at break increased 5-fold (from 11.5 to 56.7%), transitioning CMS-Na from a rigid, brittle material to a ductile, flexible one. …”
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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”
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