Neural-network-adjusted weights for fifth-order WENO schemes (WENO5-JS/Z-NN) reduce dispersion and dissipation error while preserving TVD-based shock capture.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Data-driven optimized high-order WENO schemes with low-dissipation and low-dispersion
Neural-network-adjusted weights for fifth-order WENO schemes (WENO5-JS/Z-NN) reduce dispersion and dissipation error while preserving TVD-based shock capture.