2 papers
astro-ph.IM2025
Bridging Machine Learning and Cosmological Simulations: Using Neural Operators to emulate Chemical Evolution
Pelle van de Bor, John Brennan, John A. Regan +1
The computational expense of solving non-equilibrium chemistry equations in astrophysical simulations poses a significant challenge, particularly in high-resolution, large-scale co…
astro-ph.CO2025
Predicting the number density of heavy seed massive black holes due to an intense Lyman-Werner field
Hannah O'Brennan, John A. Regan, John Brennan +5
The recent detections of a large number of candidate active galactic nuclei at high redshift (i.e. ) has increased speculation that heavy seed massive black hole forma…