Cyclic inverse design on athermal disordered sphere packings produces an emergent marginally absorbing manifold that encodes return-point memory of the training range through gradient discontinuities.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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The authors interpret neural networks as PDEs, propose a dual formulation for parabolic coefficient control with an existence proof for minimizers, and establish existence for an approximated hyperbolic control problem.
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Learning by training: emergent return-point memory from cyclically tuning disordered sphere packings
Cyclic inverse design on athermal disordered sphere packings produces an emergent marginally absorbing manifold that encodes return-point memory of the training range through gradient discontinuities.