Fluids

Problem

Turbulence, multiphase flow, thermal coupling, and complex-boundary flow prediction.

Why Important

Critical for aerospace, energy systems, industrial processes, and infrastructure design.

Physics / Chemistry / Biology involved

• Fluid mechanics
• Heat transfer and convection
• Compressible/incompressible flow dynamics

Mathematical Model

• Navier-Stokes equations
• RANS/LES families
• Multiphase coupling equations

AI Method

• Neural Operators
• Physics-Informed Neural Networks
• Surrogate modeling

HPC Method

• GPU parallelization and domain decomposition
• Hybrid MPI + NCCL communication
• Elastic multi-node scheduling

Software Implementation

Target tool: FluidTool-AI (planned)

Benchmark & Validation

• Comparison against classical CFD benchmarks
• Mesh convergence and error profiling

Future Tool

Software delivery for "one-click complex flow modeling".