Physics-Constrained Learning for Reduced-Order Thermoacoustic Stability Screening: Locating Instability Boundaries from Few Evaluations

High-fidelity prediction of thermoacoustic instability in combustors — for example through reactive Large-Eddy Simulation (LES) — is accurate but expensive: each operating point can cost days to weeks of computation, so mapping a stability boundary across a design space is often prohibitive.