A low-variance deviational simulation Monte Carlo for the Boltzmann equation. - Thomas M. M. Homolle; Nicolas G. Hadjiconstantinou (J. Comput. Phys., 2007)

A variance-reduced direct Monte Carlo simulation method for solving the Boltzmann equation over a wide range of rarefaction. - Mohsen Sadr; Nicolas G. Hadjiconstantinou (J. Comput. Phys., 2023)

Variance reduced particle solution of the Fokker-Planck equation with application to rarefied gas and plasma dynamics. - Mohsen Sadr; Nicolas G. Hadjiconstantinou (J. Comput. Phys., 2023)

Efficient particle control in systems with large density gradients. - Evan K. Massaro; Michael A. Gallis; Nicolas G. Hadjiconstantinou (J. Comput. Phys., 2024)

Wasserstein-penalized Entropy closure: A use case for stochastic particle methods. - Mohsen Sadr; Nicolas G. Hadjiconstantinou; M. Hossein Gorji (J. Comput. Phys., 2024)

MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation. - Tony Tohme; Mohsen Sadr; Kamal Youcef-Toumi; Nicolas G. Hadjiconstantinou (Trans. Mach. Learn. Res., 2024)