Astronomy & Space

CFD

Proposes PITT methodology combining symbolic equation tokenization with Fourier neural operator encoder to solve nonlinear hyperbolic balance laws for relativistic Schwarzschild-Burgers fluid flows with shock waves.

ScientificML

This paper presents a comparative analysis of two neural network models for Initial Orbit Determination from Very Short Arcs, addressing challenges in Near-Earth Object surveillance where classical methods fail due to insufficient observational arcs.

ScientificML

Proposes a continuous delayed-memory stochastic gradient descent method combined with neural network-parameterized stochastic differential equations to model quasar brightness variations from astronomical survey time series.