Paper, visual sources and credits
Kolmogorov–Arnold-Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networks
Computer Methods in Applied Mechanics and Engineering · 2025
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84 seconds. Original procedural illustrations. Only scenes marked as redrawn data use reported paper values; other scenes are conceptual, not newly run simulations. No narration. Music: We Never by Shiji Official, from the user-provided reference, edited with fades. Visual direction references Bit Xinyu's public films Emergence and Razor. Scientific content and graphics are independently developed from each paper. Page numbers refer to the local PDF.
- Opening: PDF pp. 1–2 · Abstract
- The question: PDF KAN method section
- Title: PDF pp. 1–2
- The idea: PDF KAN method section
- The mechanism: PDF abstract and method sections
- Evidence: PDF p. 28 · Conclusions and NTK analysis
- Scope and limits: PDF p. 28 · Limitations
- The takeaway: Source: paper · Conceptual networks and frequency curves
- Closing: Source: paper