Machine-learning-based spectral methods for partial differential equations

HIGHLIGHTS

• who: Brek Meuris from the DepartmentUniversity of have published the paper: Machine-learning-based spectral methods for partial differential equations, in the Journal: Scientific Reports Scientific Reports
• what: The authors emphasize that the procedure the authors propose can, in principle, complement any operator regression technique that can furnish high-quality spatial functions, e_g,17-19. The authors assess the effectiveness of the approach by applying it to a number of time-dependent problems that possess significantly different qualitative features. In Fig 2c, the authors assess these rates empirically for a number of smooth functions to . . .
  

   

  

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