Researchers combined density functional theory, machine-learning-enhanced transition-state calculations, and microkinetic modeling to screen 12 Ni-based ternary alloys for nitric oxide reduction under representative aircraft exhaust conditions. The analysis identified four promising candidates, with Ni-Cr-Pt offering the strongest predicted balance of catalytic activity, stability, carbon resistance, and material cost, although experimental validation is still required.
