50 citations · 147 across the 11 of their papers we have counts for
12 papers
Attention Is All You Need (to Avoid Spurious Oscillations)
Jinyoung Jeong, Joseph B. Choi, Xinlun Cheng +3
Can attention move a shock across several cells in one update without breaking it? We develop a conservative, fixed grid finite-volume scheme in which a CFL-conditioned attention f…
Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows
Xinlun Cheng, Joseph Choi, H. S. Udaykumar +1
We present MRPARCv2, Multi-resolution Physics-Aware Recurrent Convolutional Neural Network, designed to model complex flows by embedding the structure of advection-diffusion-reacti…
A physics-aware deep learning model for shear band formation around collapsing pores in shocked reactive materials
Xinlun Cheng, Bingzhe Chen, Joseph Choi +5
Modeling shock-to-detonation phenomena in energetic materials (EMs) requires capturing complex physical processes such as strong shocks, rapid changes in microstructural morphology…
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar +6
Modeling unsteady, fast transient, and advection-dominated physics problems is a pressing challenge for physics-aware deep learning (PADL). The physics of complex systems is govern…
The Surface Mass Density of the Milky Way: Does the Traditional Approach Work in the Context of New Surveys?
Xinlun Cheng, Borja Anguiano, Steven R. Majewski +1
We revisit the classical problem -- determination of the vertical force and implied total mass density distribution of the Milky Way disk -- for a wide range of Galactocentri…
Convolutional neural networks for large-scale dynamical modeling of itinerant magnets
Xinlun Cheng, Sheng Zhang, Phong C. H. Nguyen +3
Complex spin textures in itinerant electron magnets hold promises for next-generation memory and information technology. The long-ranged and often frustrated electron-mediated spin…
Chemo-Dynamical Tagging in the Outskirts: The Origins of Stellar Substructures in the Magellanic Clouds
César Muñoz, Antonela Monachesi, David L. Nidever +12
We present the first detailed chemical analysis from APOGEE-2S observations of stars in six regions of recently discovered substructures in the outskirts of the Magellanic Clouds e…
Kinematical Analysis of Substructure in the Southern Periphery of the Large Magellanic Cloud
Xinlun Cheng, Yumi Choi, Knut Olsen +10
We report the first 3-D kinematical measurements of 88 stars in the direction of several recently discovered substructures in the southern periphery of the Large Magellanic Cloud (…
Exploring the Galactic Warp Through Asymmetries in the Kinematics of the Galactic Disk
Xinlun Cheng, Borja Anguiano, Steven R. Majewski +10
Previous analyses of large databases of Milky Way stars have revealed the stellar disk of our Galaxy to be warped and that this imparts a strong signature on the kinematics of star…
The stellar velocity distribution function in the Milky Way galaxy
Borja Anguiano, Steven R. Majewski, Chris R. Hayes +6
The stellar velocity distribution function (DF) in the solar vicinity is re-examined using data from the SDSS APOGEE survey's DR16 and \emph{Gaia} DR2. By exploiting APOGEE's abili…
Search for strong galaxy-galaxy lensing in SDSS-III BOSS
Xinlun Cheng
Strong lensing is one of the most spectacular views in the universe. Many cosmological applications have been proposed, but the number of such lensing systems is still limited. In…
Ripple patterns in in-plane velocities of OB stars from LAMOST and Gaia
Xinlun Cheng, Chao Liu, Shude Mao +1
With about 12 000 OB type stars selected from the LAMOST and Gaia survey, we study their 3 dimensional velocity distribution over the range of galactocentric radius from 6 to 15 kp…