#shock waves
7 resultsRelativistic transport near moving interfaces
Lorenzo Gavassino
The paper studies linear disturbances near planar surfaces moving at constant speed in relativistic media, presenting a propagator-based geometric framework that unifies the descri…
The contraction of solutions with large perturbation in multiple space dimensions from the oscillatory dispersive planar shock
Geng Chen, Harish Ravichandar, Yannan Shen
The paper proves that planar oscillatory or monotone dispersive shock profiles of the dissipative Kadomtsev‑Petviashvili equation and the multi‑dimensional KdV‑Burgers equation con…
Kinetic Linear Stability Theory for High-Speed Compressible Flows: A High Performance Computing Framework
Irmak Taylan Karpuzcu, Deborah Levin, Vassilis Theofilis
The paper develops a kinetic linear stability theory for one‑dimensional normal shocks by linearizing the Boltzmann‑BGK equation and implements a high‑performance parallel solver t…
Merging galaxies and clusters: Insights into the role of magnetic fields and the physics of radio relics
Joseph Whittingham
The thesis uses high‑resolution cosmological magnetohydrodynamic simulations to study how magnetic fields evolve during galaxy mergers and how shock‑driven radio relics form in mer…
Shock solutions for the one-dimensional information geometric regularization of compressible flow
William Barham, Brian K. Tran, Ben S. Southworth +1
The paper proves existence, uniqueness, and regularity of one‑dimensional shock‑type traveling wave solutions for the information geometric regularization of the compressible Euler…
EP-FXT Observations of Abell 1795: X-ray Properties and Structure out to
Y. Tang, S. M. Jia, H. H. Zhao +20
The paper presents deep X‑ray observations of the galaxy cluster Abell 1795 with the EP‑FXT instrument, measuring its temperature profile out to the virial radius and revealing a s…
SPARC-Net: A Spectral, Causality-Aware, and Hard-Constrained Physics-Informed Architecture for Stiff and Shock-Dominated Partial Differential Equations
Divyavardhan Singh, Dimple Sonone, Hammad Mohammad +1
The paper introduces SPARC-Net, a physics-informed neural network architecture that combines spectral encoding, causality-aware training, and hard constraints to improve the soluti…