Researchers introduced a data-poisoning attack called cross-parameter relinking that creates wrong-physics backdoors in neural PDE operators, making triggered inputs output physically plausible but in…
An engineer seeking real-world experience with ML surrogates for CFD and FEA simulations asks about practical architectures, data efficiency, physics-informed approaches, and generalization. The quest…
Engineers are increasingly using machine learning surrogate models to accelerate computational fluid dynamics (CFD) and finite element analysis (FEA) simulations, replacing traditional hour-long solve…
Researchers developed a mathematical framework for sequential surrogate modeling of three-phase black-oil reservoir dynamics using Fourier Neural Operators (FNO) and physics-informed neural operators …