Incorporate physical constraints into latent-space interpolation
Investigate whether incorporating physical constraints, such as volume conservation across breakup events or curvature evolution governed by surface tension, into the SHROM training objective or trajectory fitting can reduce the reconstruction-limited interpolation error for fluid-interface morphologies.
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Two routes are open, at different cost. A term in the training objective could penalise physically inadmissible intermediate states: volume that is not conserved between break-up events, or curvature evolution inconsistent with surface tension. This shapes the latent itself, so that the space between observations contains only realisable morphologies, and is the more fundamental of the two. Alternatively the path fitting could be constrained. The schemes used here are purely geometric --- splines and geodesics that know nothing of the dynamics --- and even a scalar conservation law imposed along the trajectory would tailor the traversal between observations without retraining anything. The second is much the cheaper experiment and is where we would begin.