WeldNet: A Data-Driven Approach for Dynamic System Reduction
Published:Dec 11, 2025 20:06
•1 min read
•ArXiv
Analysis
The ArXiv article introduces WeldNet, a novel method utilizing windowed encoders for learning and reducing the complexity of dynamic systems. This data-driven approach has potential implications for simplifying simulations and accelerating analyses in various engineering fields.
Key Takeaways
Reference
“The article's core contribution is the use of windowed encoders.”