
Machine learning, specifically sparse regression, can be used to construct accurate and interpretable effective continuum models for complex nonlinear wave dynamics in photonic lattices, offering an alternative to traditional analytical methods.


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data-driven-machine-learning-reconstruction-of-effective-continuum-models-for-nonlinear-wave-dynamics-in-photonic-lattices


Data-Driven Machine Learning Reconstruction of Effective Continuum Models for Nonlinear Wave Dynamics in Photonic Lattices
