Tag: Surrogate model

  • Neural-network surrogate predicts particle hydrodynamic responses accurately

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    What the study found A data-driven surrogate framework was developed to estimate hydrodynamic responses of rigid, non-spherical particles in Stokes flow, including the stresslet, angular velocity, and, for helicoidal particles, chiral thrust. The surrogate was trained on data generated by a validated boundary element method and was tested across random orientations and flow types. Why…