2 papers
astro-ph.EP2025
Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics
Shunyuan Mao, Weiqi Wang, Sifan Wang +7
Accretion disks are ubiquitous in astrophysics, appearing in diverse environments from planet-forming systems to X-ray binaries and active galactic nuclei. Traditionally, modeling…
astro-ph.EP2024
Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems
Shunyuan Mao, Ruobing Dong, Kwang Moo Yi +3
We introduce Disk2Planet, a machine learning-based tool to infer key parameters in disk-planet systems from observed protoplanetary disk structures. Disk2Planet takes as input the…