AI RESEARCH
A neural operator for predicting vibration frequency response curves from limited data
arXiv CS.LG
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ArXi:2603.10149v1 Announce Type: new In the design of engineered components, rigorous vibration testing is essential for performance validation and identification of resonant frequencies and amplitudes encountered during operation. Performing this evaluation numerically via machine learning has great potential to accelerate design iteration and make testing workflows efficient. However, dynamical systems are conventionally difficult to solve via machine learning methods without using physics-based regularizing loss functions.