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New method derives soliton dynamics from scattering data

Researchers have developed a novel method to derive soliton dynamics directly from scattering data, moving beyond traditional analytical approaches. This data-driven technique combines the conceptual framework of the inverse scattering transform (IST) with weak-form system identification. By operating in the scattering domain, the method avoids ad hoc curve-fitting and yields interpretable, low-dimensional models applicable to perturbed and near-integrable regimes. The approach was successfully demonstrated on synthetic and experimental data governed by Korteweg--de Vries-type shallow-water equations, producing models consistent with established IST theory. AI

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New method derives soliton dynamics from scattering data

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COVERAGE [2]

  1. arXiv stat.ML TIER_1 English(EN) · Seth Minor, Vanja Dukic, David M. Bortz ·

    Learning Effective Soliton Dynamics from Scattering Data

    arXiv:2607.01545v1 Announce Type: cross Abstract: The inverse scattering transform (IST) provides the standard theoretical framework for deriving soliton dynamics. Traditionally, such derivations have been of an analytical, rather than data-driven, nature. In this paper, we combi…

  2. arXiv stat.ML TIER_1 English(EN) · David M. Bortz ·

    Learning Effective Soliton Dynamics from Scattering Data

    The inverse scattering transform (IST) provides the standard theoretical framework for deriving soliton dynamics. Traditionally, such derivations have been of an analytical, rather than data-driven, nature. In this paper, we combine the conceptual framework of the IST with weak-f…