Data-driven discovery of dimensionless numbers and governing laws from scarce measurements

HIGHLIGHTS

• who: Xiaoyu Xie from the (UNIVERSITY) have published the Article: Data-driven discovery of dimensionless numbers and governing laws from scarce measurements, in the Journal: (JOURNAL) of 28/Nov/2021
• what: The authors demonstrate the algorithm by solving several challenging engineering problems with noisy experimental measurements (not synthetic data) collected from the literature. Lastly, the authors show that this approach can identify dimensionally homogeneous differential equations with dimensionless number(s) by leveraging sparsity-promoting techniques. The authors propose a mechanistic data-driven approach, called dimensionless learning. The authors demonstrate the first workflow of the proposed . . .
  

   

  

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