Weak and entropy physics-informed neural networks for conservation laws

Documenti analoghi

• Non-oscillatory entropy stable DG schemes for hyperbolic conservation law
  di: Liu, Yuchang, et al.
  Pubblicazione: (2024)
• Multiprecision computing for multistage fractional physics-informed neural networks
  di: Xue, Na, et al.
  Pubblicazione: (2025)
• Kolmogorov $\varepsilon$-entropy of numerical solutions for scalar conservation laws with convex flux
  di: Ancona, Fabio, et al.
  Pubblicazione: (2026)
• Multilevel domain decomposition-based architectures for physics-informed neural networks
  di: Dolean, Victorita, et al.
  Pubblicazione: (2023)
• Error estimates of physics-informed neural networks for approximating Boltzmann equation
  di: Abdo, Elie, et al.
  Pubblicazione: (2024)