Hybrid deep learning and iterative methods for accelerated solutions of viscous incompressible flow

Key Points

• Improved algorithms reduce computation time significantly, enabling faster simulations.
• Key performance metrics show a remarkable decrease in error rates during fluid dynamics calculations.
• Assessment using hybrid approaches integrates deep learning with traditional iterative methods for fluid flow applications.
• Supports the need for efficient computational techniques in simulating complex flow scenarios, addressing limits in current methods.