collaborators

11 papers

math.NA2026

Algebraic Multigrid with Filtering: An Efficient Preconditioner for Interior Point Methods in Large-Scale Contact Mechanics Optimization

Socratis Petrides, Tucker Hartland, Tzanio Kolev +6

Large-scale contact mechanics simulations are crucial in many engineering fields such as structural design and manufacturing. In the frictionless case, contact can be modeled by mi…

cs.DC2026

Accelerating High-Order Finite Element Simulations at Extreme Scale with FP64 Tensor Cores

Jiqun Tu, Ian Karlin, John Camier +4

Finite element simulations play a critical role in a wide range of applications, from automotive design to tsunami modeling and computational electromagnetics. Performing these sim…

q-bio.QM2026

An open-source computational framework for immersed fluid-structure interaction modeling using FEBio and MFEM

Ryan T. Black, Steve A. Maas, Wensi Wu +4

Fluid-structure interaction (FSI) simulation of biological systems presents significant computational challenges, particularly for applications involving large structural deformati…

math.NA2026

High-Order Mesh r-Adaptivity with Tangential Relaxation and Guaranteed Mesh Validity

Ketan Mittal, Veselin Dobrev, Tzanio Kolev +1

High-order meshes are crucial for achieving optimal convergence rates in curvilinear domains, preserving symmetry, and aligning with key flow features in moving mesh simulations, b…

cs.DC2025

Real-time Bayesian inference at extreme scale: A digital twin for tsunami early warning applied to the Cascadia subduction zone

Stefan Henneking, Sreeram Venkat, Veselin Dobrev +5

We present a Bayesian inversion-based digital twin that employs acoustic pressure data from seafloor sensors, along with 3D coupled acoustic-gravity wave equations, to infer earthq…

math.NA2025

PDE-Constrained High-Order Mesh Optimization

Tzanio Kolev, Boyan Lazarov, Ketan Mittal +2

We present a novel framework for PDE-constrained -adaptivity of high-order meshes. The proposed method formulates mesh movement as an optimization problem, with an objective fun…