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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Laura V. Alvarez

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Preprint Aug 2026

NeuralFlowNet: Towards Data-Free Physics-Informed Neural Network Solutions of Navier-Stokes Equations Across Low and High Reynolds Numbers

This work presents NeuralFlowNet, a data-free, physics-informed proof-of-concept framework designed to solve steady Navier-Stokes problems across low- to high-Reynolds-number conditions, and establishes NeuralFlowNet as a reliable framework for future testing of unsteady and more complex simulations.

Jayanga T. Samarasinghe, Luis A. de la Fuente, Laura V. Alvarez · 0 citations

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