Kurucz-a1 is a physics-informed neural emulator of LTE stellar atmospheric structure that achieves sub-percent accuracy against ATLAS-12 and enforces hydrostatic equilibrium as a training constraint.
The PHOENIX Model Atmosphere Grid for Stars
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Differentiable Stellar Atmospheres with Physics-Informed Neural Networks
Kurucz-a1 is a physics-informed neural emulator of LTE stellar atmospheric structure that achieves sub-percent accuracy against ATLAS-12 and enforces hydrostatic equilibrium as a training constraint.