A comprehensive PINN method with hybrid Fourier feature for high-precision natural convection solution

Key Points

• High-precision solutions for natural convection were achieved using the hybrid Fourier feature approach.
• This method significantly improves numerical accuracy in simulations, offering new insights into convection dynamics.
• Utilizing a physics-informed neural network contributed to enhanced results compared to traditional methods.
• The implications suggest this approach may enable advancements in computational fluid dynamics and related fields.