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High-Order Variable-Scaled Energetic Variational Neural Networks for Phase-Field Gradient Flows
In this paper, we develop a high-order variable-scaled energetic variational neural network (VS-EVNN) method for phase-field gradient flows. Each discretization stage uses an updated-state network whose spatial inputs are centered and divided by the interface scale, while the sampled energy and move
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