Category: Mechanics
Neural-network surrogate predicts particle hydrodynamic responses accurately
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in MechanicsWhat 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…

Nonreciprocal stiffness and damping decouple wave control in elastic lattices
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in MechanicsNonreciprocal elastic lattices with engineered damping enable decoupled control of wave amplification and propagation, allowing independent tuning of temporal growth and velocity characteristics.


