Machine learning moment closure models for the radiative transfer equation I: Directly learning a gradient based closure. - Juntao Huang; Yingda Cheng; Andrew J. Christlieb; Luke F. Roberts (J. Comput. Phys., 2022)

Machine Learning Moment Closure Models for the Radiative Transfer Equation III: Enforcing Hyperbolicity and Physical Characteristic Speeds. - Juntao Huang; Yingda Cheng; Andrew J. Christlieb; Luke F. Roberts (J. Sci. Comput., 2023)

Machine Learning Moment Closure Models for the Radiative Transfer Equation II: Enforcing Global Hyperbolicity in Gradient-Based Closures. - Juntao Huang; Yingda Cheng; Andrew J. Christlieb; Luke F. Roberts; Wen-An Yong (Multiscale Model. Simul., 2023)

Parthenon - a performance portable block-structured adaptive mesh refinement framework. - Philipp Grete; Joshua C. Dolence; Jonah M. Miller; Joshua Brown 006; Ben Ryan; Andrew Gaspar; Forrest Wolfgang Glines; Sriram Swaminarayan; Jonas Lippuner; Clell J. Solomon; Galen M. Shipman; Christoph Junghans; et al. (Int. J. High Perform. Comput. Appl., 2023)