Data-driven model discovery of ideal four-wave mixing in nonlinear fibre optics

HIGHLIGHTS

• who: Andrei V. Ermolaev from the InstitutTampere University have published the Article: Data-driven model discovery of ideal four-wave mixing in nonlinear fibre optics, in the Journal: Scientific Reports Scientific Reports
• what: To interpret the multiple results obtained using this approach, the authors first inspect a histogram of the number of non-zero terms associated with the 100 returned models as shown in Fig 4b. The main result of this study is that the authors have shown that data driven discovery using sparse regression (SINDy) can indeed successfully determine the governing model for nonlinear . . .
  

   

  

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