Computers have made it easier than ever before to design the perfect material for a given problem: Scientists can create a virtual version and simulate how that material will behave. Building these ...

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Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.

Most AppSec programs fail not at the point of tool selection but at the point of adoption. Security teams invest in capable platforms, integrate them into the pipeline, and then find that developers ...

Abstract: Accurate modeling of wind turbine units is key to analyzing the impact of large-scale wind power integration on grid stability, safety, and reliability. However, traditional mechanistic ...