activity
20202026
most citedPPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems

30 citations · 38 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging

Shunyuan Mao, Andrea Isella, Paris Perdikaris +2

Radio-interferometric images are reconstructed from sparsely sampled visibilities, and CLEAN-based imaging can struggle with spatial filtering, complex morphologies, and uncertaint…

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★ 1 cited

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…

astro-ph.EP2023★ 30 cited

PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems

Shunyuan Mao, Ruobing Dong, Lu Lu +3

We develop a tool, which we name Protoplanetary Disk Operator Network (PPDONet), that can predict the solution of disk-planet interactions in protoplanetary disks in real-time. We…

astro-ph.IM2020★ 7 cited

DRAGraces: A pipeline for the GRACES high-resolution spectrograph at Gemini

André-Nicolas Chené, Shunyuan Mao, Michael Lundquist +2

This paper describes the software DRAGraces (Data Reduction and Analysis for GRACES), which is a pipeline reducing spectra from GRACES (Gemini Remote Access to the CFHT ESPaDOnS Sp…