A hands-on introduction to Physics-Informed Neural Networks for solving partial differential equations with benchmark tests taken from astrophysics and plasma physics

Documenti analoghi

• Physics-Informed Neural Networks for Solving Forward and Inverse PDEs with Limited and Noisy Data: Application to Solar Corona Modeling
  di: Baty, Hubert
  Pubblicazione: (2025)
• Triggering physical plasmoids in forming current sheets: conditions and diagnostics
  di: Baty, Hubert
  Pubblicazione: (2026)
• Reformulating polarized radiative transfer for astrophysical applications (I). A formalism allowing non-local Magnus solutions
  di: Carlin, E. S., et al.
  Pubblicazione: (2024)
• Electrostatic waves in astrophysical Druyvesteyn plasmas: I. Langmuir waves
  di: Tischmann, Simon, et al.
  Pubblicazione: (2025)
• Radiative loss and ion-neutral collisional effects in astrophysical plasmas
  di: Braileanu, Beatrice Popescu, et al.
  Pubblicazione: (2024)