Compact neural networks compute ground and excited steady states of the 1D nonlinear Schrödinger equation, and superpositions of those states show chaotic dynamics with near-Kolmogorov scaling.
Zhao, Physical Review A111, 033320 (2025)
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Interpretable Neural Network Quantum States for Solving the Steady States of the Nonlinear Schr\"odinger Equation
Compact neural networks compute ground and excited steady states of the 1D nonlinear Schrödinger equation, and superpositions of those states show chaotic dynamics with near-Kolmogorov scaling.