lid-driven cavity flow

template folder for the application of physics and equality constrained artificial neural networks (PECANNs) in lid driven cavity flow

Frequent changes would happens to improve the code and performance.

Codes can be executed by run.slurm or just main.py.

Default: 2 independent networks, velocity network (u & v), pressure network (p).

     Re=1000

Try to get consistent and perfect statistical performance on Re=1000