activity
20162024
most citedAdjoint DSMC for nonlinear Boltzmann equation constrained optimization

25 citations · 59 across the 6 of their papers we have counts for

collaborators

8 papers

math.AP2024★ 1 cited

Exact periodic solutions of the generalized Constantin-Lax-Majda equation with dissipation

Denis A. Silantyev, Pavel M. Lushnikov, Michael Siegel +1

We present exact pole dynamics solutions to the generalized Constantin-Lax-Majda (gCLM) equation in a periodic geometry with dissipation , where its spatial Fourier transform…

physics.flu-dyn2022★ 10 cited

Almost extreme waves

Sergey A. Dyachenko, Vera Mikyoung Hur, Denis A. Silantyev

Numerically computed with high accuracy are periodic traveling waves at the free surface of a two dimensional, infinitely deep, and constant vorticity flow of an incompressible inv…

math.NA2022★ 8 cited

Adjoint DSMC for Nonlinear Spatially-Homogeneous Boltzmann Equation With a General Collision Model

Yunan Yang, Denis Silantyev, Russel Caflisch

We derive an adjoint method for the Direct Simulation Monte Carlo (DSMC) method for the spatially homogeneous Boltzmann equation with a general collision law. This generalizes our…

math.AP2022

Global existence and singularity formation for the generalized Constantin-Lax-Majda equation with dissipation: The real line vs. periodic domains

David M. Ambrose, Pavel M. Lushnikov, Michael Siegel +1

The question of global existence versus finite-time singularity formation is considered for the generalized Constantin-Lax-Majda equation with dissipation , where $\widehat {…

nlin.PS2020★ 15 cited

Collapse vs. blow up and global existence in the generalized Constantin-Lax-Majda equation

Pavel M. Lushnikov, Denis A. Silantyev, Michael Siegel

The question of finite time singularity formation vs. global existence for solutions to the generalized Constantin-Lax-Majda equation is studied, with particular emphasis on the in…

math.NA2020★ 25 cited

Adjoint DSMC for nonlinear Boltzmann equation constrained optimization

Russel Caflisch, Denis Silantyev, Yunan Yang

Applications for kinetic equations such as optimal design and inverse problems often involve finding unknown parameters through gradient-based optimization algorithms. Based on the…