Cheng, Xinlun

Latest

• A Physics-Aware Deep Learning Model for Shear Band Formation Around Collapsing Pores in Shocked Reactive Materials
• POSTER: Physics-Aware Convolutional Neural Networks for Modelling Energetic Material in the Strong Shock Regime
• Physics-Aware Convolutional Neural Networksfor Modeling Energetic Material in the Weak Shock Regime
• POSTER: A Physics-Aware Deep Learning Model for Shear Band Formation in Weak-to-Modest Shock Regime
• PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
• Physics-aware recurrent convolutional neural networks for modeling multiphase compressible flows
• The surface mass density of the Milky Way: does the traditional $K_Z$ approach work in the context of new surveys?
• Chemo-dynamical tagging in the outskirts: The origins of stellar substructures in the Magellanic Clouds
• Convolutional neural networks for large-scale dynamical modeling of itinerant magnets
• Kinematical Analysis of Substructure in the Southern Periphery of the Large Magellanic Cloud
• Kinematical Analysis of Substructure in the Southern Periphery of the Large Magellanic Cloud
• Galactic Warp Through the Lenses of Gaia Data Release 2 and the APOGEE Survey
• PRESS RELEASE: Galactic Warp Through the Lenses of Gaia Data Release 2 and the APOGEE Survey
• Exploring the Galactic Warp through Asymmetries in the Kinematics of the Galactic Disk
• Exploring the Galactic Warp Through Asymmetries in the Kinematics of the Galactic Disk
• Visualization of Galactic Warp Model
• The Stellar Velocity Distribution Function in the Milky Way Galaxy
• Search for strong galaxy-galaxy lensing in SDSS-III BOSS
• Ripple Patterns in In-plane Velocities of OB Stars from LAMOST and Gaia