pLaSDI learns a reduced governing equation for time-dependent NLTE atomic kinetics with physics-informed losses enforcing consistency, stability, and steady-state convergence, achieving <2% error on tin charge-state evolution at 5e4-1e5 speedup and stable extrapolation.
Latent space dynamics learning for stiff collisional-radiative models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.plasm-ph 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Physics-Informed Latent Space Dynamics Identification for Time-Dependent NLTE Atomic Kinetics
pLaSDI learns a reduced governing equation for time-dependent NLTE atomic kinetics with physics-informed losses enforcing consistency, stability, and steady-state convergence, achieving <2% error on tin charge-state evolution at 5e4-1e5 speedup and stable extrapolation.