Showing 1 - 20 results of 2,391 for search '(( a large decrease ) OR ( via ((((laser decrease) OR (larger decrease))) OR (linear decrease)) ))', query time: 0.57s Refine Results
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    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
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    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
  3. 3

    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
  4. 4

    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
  5. 5

    Laser-Enhanced Bubble Detachment Velocity and Heat Dissipation on Abrasive Surfaces by Cong He (5074154)

    Published 2025
    “…It was discovered that the bubble detachment velocity initially increases and subsequently decreases with increasing laser power density, while a reduction in surface roughness can enhance the detachment velocity. …”
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    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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