Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data. - Fantine Huot; R. Lily Hu; Matthias Ihme; Qing Wang 032; John Burge; Tianjian Lu; Jason Hickey; Yi-Fan Chen; John R. Anderson (CoRR, 2020)

A TensorFlow simulation framework for scientific computing of fluid flows on tensor processing units. - Qing Wang 032; Matthias Ihme; Yi-Fan Chen; John R. Anderson (Comput. Phys. Commun., 2022)

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. - Anudhyan Boral; Zhong Yi Wan; Leonardo Zepeda-Núñez; James Lottes; Qing Wang 032; Yi-Fan Chen; John Anderson; Fei Sha (NeurIPS, 2023)

Accelerating large-eddy simulations of clouds with Tensor Processing Units. - Sheide Chammas; Qing Wang 032; Tapio Schneider; Matthias Ihme; Yi-Fan Chen; John R. Anderson (CoRR, 2023)

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. - Anudhyan Boral; Zhong Yi Wan; Leonardo Zepeda-Núñez; James Lottes; Qing Wang 032; Yi-Fan Chen; John Robert Anderson; Fei Sha (CoRR, 2023)

Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme. - Shantanu Shahane; Sheide Chammas; Deniz A. Bezgin; Aaron B. Buhendwa; Steffen J. Schmidt; Nikolaus A. Adams; Spencer H. Bryngelson; Yi-Fan Chen; Qing Wang 032; Fei Sha; Leonardo Zepeda-Núñez (CoRR, 2024)