Split Complex-Valued Physics-Informed Neural Networks for Forward and Inverse Nonlinear Partial Differential Equations

arXiv:2607.15087 · physics.flu-dyn · Submitted 2026-07-16 · Read on arXiv

physics.flu-dyn

Submitted: 2026-07-16

Updated: 2026-10-26

Terminology

• Benchmark — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Computational Efficiency — 1× in this paper · explained in 2 episodes
• Expressivity — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Physics-Informed Neural Networks (PINNs) — 1× in this paper · explained in 8 episodes
• Spectral Bias — 1× in this paper · explained in 2 episodes

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