Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

Recent advances in machine learning (ML) have impacted research communities based on
statistical perspectives and uncovered invisibles from conventional standpoints. Though the …

As one of the main governing equations in kinetic theory, the Boltzmann equation is widely
utilized in aerospace, microscopic flow, etc. Its high-resolution simulation is crucial in these …

This is the third paper in a series in which we develop machine learning (ML) moment
closure models for the radiative transfer equation. In our previous work (Huang et al. in J …

The multi-scale nature of gaseous flows poses tremendous difficulties for theoretical and
numerical analysis. The Boltzmann equation, while possessing a wider applicability than …

With the increasing availability of flow data from simulation and experiment, artificial
intelligence and machine learning are revolutionizing the research paradigm in …