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From the 1 of 6 linked papers with an AI index.

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20242026
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6 papers

math.NA2026

Performance Evaluation of Stabilized Corrections for Mixed Precision Runge--Kutta Methods

César Herrera, César Herrera, John Driscoll +4

The paper numerically evaluates the runtime and accuracy of stabilized correction techniques for mixed‑precision diagonally implicit Runge‑Kutta methods applied to nonlinear PDEs,…

math.NA2026

A Structure-Preserving Decorated Particle Method for the Vlasov-Poisson System

Mandela B. Quashie, J. W. Burby, Andrew J. Christlieb +1

We revisit the Scovel-Weinstein framework (Scovel & Weinstein, CPAM 1994) for reducing the Vlasov-Poisson system while preserving its Hamiltonian structure. Standard particle-in-ce…

math.NA2025

A Semi-Lagrangian Adaptive Rank (SLAR) Method for High-Dimensional Vlasov Dynamics

Nanyi Zheng, William A. Sands, Daniel Hayes +2

We extend our previous work on a semi-Lagrangian adaptive rank (SLAR) integrator, in the finite difference framework for nonlinear Vlasov-Poisson systems, to the general high-order…

math.NA2025

Moment-enhanced shallow water equations for non-slip boundary conditions

Shiping Zhou, Juntao Huang, Andrew J. Christlieb

The shallow water equations often assume a constant velocity profile along the vertical axis. However, this assumption does not hold in many practical applications. To better appro…

physics.plasm-ph2024

A Particle-In-Cell Method for Plasmas with a Generalized Momentum Formulation, Part III: A Family of Gauge Conserving Methods

Andrew J. Christlieb, William A. Sands, Stephen R. White

In this paper, we introduce a new family of spatially co-located field solvers for particle-in-cell applications which evolve the potential formulation of Maxwell's equations under…

math.NA2024

Hyperbolic Machine Learning Moment Closures for the BGK Equations

Andrew J. Christlieb, Mingchang Ding, Juntao Huang +1

We introduce a hyperbolic closure for the Grad moment expansion of the Bhatnagar-Gross-Krook's (BGK) kinetic model using a neural network (NN) trained on BGK's moment data. This cl…