Diagram showing neural network processing grey car models for quick results versus a car undergoing slow, detailed CFD simulation with servers.

Ultra-detailed 16:9 digital illustration, Adobe Photoshop / ArtStation quality. No text or numbers anywhere in the image. The scene explains visually how a neural-network surrogate replaces expensive CFD for complex, non-parametric 3D car shapes. On the left, show several different grey 3D car bodies stacked vertically, each with irregular, free-form surfaces and partly visible polygonal wireframes to suggest complex, non-parametrized geometry. Soft arrows made of glowing light flow from these cars toward the center. In the center, place a large, very clear neural network: multiple layers of glossy spheres connected by thin glowing lines, floating inside a soft rectangular panel, with slight depth of field so the network structure is obvious and crisp. From the network, a bright arrow goes to the upper right, ending in a simple icon for a physical quantity of interest: a stylized circular gauge and a small abstract curve plot hovering in front of a car silhouette. Below that, create a second path that bypasses the network: the same car goes into a CFD block where it is surrounded by dense, colorful streamlines and a pressure colormap on the surface, connected to a row of computer towers and a long horizontal progress bar to indicate heavy computation. Near the surrogate branch, add a small, sleek stopwatch icon with the hand near zero (fast), and near the CFD branch add a larger, heavier clock with the hand further along (slow). Clean light background, soft shadows, See more