2 papers
physics.flu-dyn2026
NeuralFlowNet: Towards Data-Free Physics-Informed Neural Network Solutions of Navier-Stokes Equations Across Low and High Reynolds Numbers
Jayanga T. Samarasinghe, Luis De la Fuente, Laura V. Alvarez
Physics-informed neural networks (PINNs) have emerged as a compelling pathway toward trustworthy artificial-intelligence-based computational fluid dynamics (CFD) by embedding gover…
physics.flu-dyn2026
Large Eddy Simulation of Plunging Flows in Laboratory-Scale Bedrock Rivers
Jayanga T. Samarasinghe, Laura V. Alvarez, Max Hurson +1
Non-uniform flow dynamics in bedrock-bound channel morphologies play a critical role in landscape evolution because these reaches are locations along river long profiles where acti…