Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
Disk2Planet
Automated machine-learning parameter inference for disk–planet systems.
fargo_utils
Python interface for FARGO3D hydrodynamic simulations.
PPDONet
Deep Operator Networks for fast prediction of solutions in disk–planet systems.
publications
DRAGraces: A pipeline for the GRACES high-resolution spectrograph at Gemini
Published in The Astronomical Journal, 2021
Pipeline for the Gemini GRACES high-resolution spectrograph.
Recommended citation: Chené, A.-N., Mao, S., et al. (2021). "DRAGraces: A pipeline for the GRACES high-resolution spectrograph at Gemini." The Astronomical Journal, 161, 109.
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PPDONet: Deep Operator Networks for Fast Prediction of Steady-state Solutions in Disk–Planet Systems
Published in The Astrophysical Journal Letters, 2023
Deep operator networks for rapid prediction of steady-state disk–planet system solutions.
Recommended citation: Mao, S., et al. (2023). "PPDONet: Deep Operator Networks for Fast Prediction of Steady-state Solutions in Disk–Planet Systems." The Astrophysical Journal Letters, 950, L12.
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Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk–Planet Systems
Published in The Astrophysical Journal, 2024
An automated machine-learning tool for parameter inference in disk–planet systems.
Recommended citation: Mao, S., et al. (2024). "Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk–Planet Systems." The Astrophysical Journal, 976, 200.
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Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics
Published in The Astrophysical Journal Letters, 2025
Neural-network surrogate solvers for time-dependent accretion-disk dynamics.
Recommended citation: Mao, S., et al. (2025). "Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics." The Astrophysical Journal Letters, 992, L20.
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talks
Chinese Congress of Theoretical and Applied Mechanics
Contributed conference talk.
Scientific Machine Learning Workshop
Invited talk at the Scientific Machine Learning Workshop.
Crunch Machine Learning + X Seminars
Invited seminar at Brown University’s Crunch Machine Learning + X series.
13th National Conference on Fluid Mechanics
Contributed conference talk.
ET Seminar
Invited seminar at the Shanghai Astronomical Observatory.
Cosmic Horizons Conference
Contributed conference talk.
Open SkAI 2025
Contributed conference talk.
2025 Star and Planet Formation in the Southwest Conference
Contributed conference talk.
ML4Disks Workshop
Contributed workshop talk.
2026 AstroAI Workshop
Contributed workshop talk.
Cosmic Horizons Conference
Contributed conference talk.