A differentiable physics engine inside a neural network discovers non-Hertzian asperity shapes that produce programmable nonlinear friction-area relations, validated by BEM simulations.
Fluid-mediated impact of soft solids
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Inverse Design of Metainterfaces for Static Friction Control: Beyond the Hertzian Limit
A differentiable physics engine inside a neural network discovers non-Hertzian asperity shapes that produce programmable nonlinear friction-area relations, validated by BEM simulations.