A gradient-regularized 4D neural field over space and flow rate predicts 3D printed geometries at unseen flow rates more accurately than SIREN and enables per-layer flow rate optimization.
Reconfigurable aqueous 3d printing with adaptive dual locks
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Regularized interpolation in 4D neural fields enables optimization of 3D printed geometries
A gradient-regularized 4D neural field over space and flow rate predicts 3D printed geometries at unseen flow rates more accurately than SIREN and enables per-layer flow rate optimization.