arXiv Machine Learning July 10, 2026 By Sarah Grewe, J\"org Frochte

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling

Read the original on arXiv Machine Learning →

arXiv:2607. 07863v1 Announce Type: new Abstract: In physically dominated machining processes, experimental datasets are small, expensive, and material-specific; in this regime, data curation, evaluation design, and the form of physics integration can matter as much as the learning algorithm.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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