activity
20142026
most citedMFEM: a modular finite element methods library

456 citations · 689 across the 31 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

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…

math.NA2025

Scalable Analysis and Design Using Automatic Differentiation

Julian Andrej, Tzanio Kolev, Boyan Lazarov

This article aims to demonstrate and discuss the applications of automatic differentiation (AD) for finding derivatives in PDE-constrained optimization problems and Jacobians in no…

math.NA2025

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…

math.NA2025

A method for bounding high-order finite element functions: Applications to mesh validity and bounds-preserving limiters

Tarik Dzanic, Tzanio Kolev, Ketan Mittal

We introduce a novel method for bounding high-order multi-dimensional polynomials in finite element approximations. The method involves precomputing optimal piecewise-linear boundi…

cs.DC2025★ 6 cited

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

Differentiable Lagrangian Shock Hydrodynamics with Application to Stable Shock Acceleration of Density Interfaces

Kevin Korner, Brandon Talamini, Julian Andrej +8

We develop a gradient based optimization approach for the equations of compressible, Lagrangian hydrodynamics and demonstrate how it can be employed to automatically uncover strate…

cs.MS2025

General Field Evaluation in High-Order Meshes on GPUs

Ketan Mittal, Aditya Parik, Som Dutta +3

Robust and scalable function evaluation at any arbitrary point in the finite/spectral element mesh is required for querying the partial differential equation solution at points of…