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Study proposes literature-informed dimensionless learning to close data-driven physics equations

This story is from 2026-11-05. It is preserved in the archive; the latest stories are on the live feed.

A new arXiv paper introduces a literature-informed dimensionless learning method aimed at resolving how coefficients of data-driven equations vary across operating conditions.

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-11-05 05:00 · arXiv stat.ML
    Discovering like a scientist: Literature-informed dimensionless learning for physical closure of data-driven equations

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