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An Energy-Based Conservative-Dissipative Latent Neural Evolution Operator for Magnetization Dynamics
We develop an energy-based reduced-order model for micromagnetic magnetization dynamics that couples a convolutional autoencoder to a structured latent neural ordinary differential equation. Motivated by the precessional-dissipative structure of the Landau-Lifshitz-Gilbert equation, the latent vecto
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