How AI Is Quietly Transforming Simulation
This article discusses how artificial intelligence is being used to speed up the engineering design process by working alongside traditional physics-based solvers. Instead of replacing established methods like finite element analysis or fluid dynamics, AI acts as a tool to handle repetitive tasks and explore larger sets of design variations more quickly.
The text highlights specific techniques, such as neural operators and reduced-order models, which can provide near-instant predictions once they are trained on existing data. This allows engineers to filter through many design options and only run high-fidelity, time-consuming simulations on the most promising candidates. It also touches on the importance of human oversight and validation to ensure that these AI-generated results remain accurate and grounded in real-world physics.
