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    Structural Biomimetics of Non-smooth Pits for Ceramic Extruders and Its Reducing Adhesion and Resistance by Shengrui YU, Ping JI, Zhemin DAI, Lei XU, Zhihuan LIU, Wei LI, Huiting WU

    Published 2024-09-01
    “…Moreover, when the pits were uniformly distributed on the head’s surface of the ceramic extruder in a parallel arrangement, with a pit radius of 1.5 mm and a distance between the centers of two adjacent pits of 4.5 mm, the drag reduction rate (<inline-formula><tex-math id="Z-20240910111850">$\lambda_{\mathrm{f}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300031_Z-20240910111850.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300031_Z-20240910111850.png"/></alternatives></inline-formula>) for clay extrusion reached 21.83%, the variance of relative angular velocity (<inline-formula><tex-math id="Z-20240910111854">$\lambda_{\mathrm{s}}^2 $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300031_Z-20240910111854.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300031_Z-20240910111854.png"/></alternatives></inline-formula>) decreased by 3.44%, and the clay extrusion efficiency increased by 11.95%. …”
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    AI Merged With Human Knowledge Produces the Best Possible Weather Forecasts by Stephen G. Penny

    Published 2025-04-01
    “…Abstract A new approach called cross‐attractor transforms (Agarwal et al., 2025, https://doi.org/10.1029/2024gl110472) aims to improve weather forecasts by using neural networks to learn optimal maps between nature and imperfect numerical weather prediction (NWP) models. …”
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