Immersed boundary methods (IBMs) are versatile and efficient computational techniques to
solve flow problems in complex geometric configurations that retain the simplicity and …

We consider Bayesian inference for large-scale inverse problems, where computational
challenges arise from the need for repeated evaluations of an expensive forward model …

This paper is focused on the optimization approach to the solution of inverse problems. We
introduce a stochastic dynamical system in which the parameter-to-data map is embedded …

Time-evolving high-fidelity simulations of an entry capsule in a supersonic flight regime have
been performed at different angles of attack (0∘, 5∘, 10∘ and 15∘) in Mars' atmosphere …

In this paper, we study efficient approximate sampling for probability distributions known up
to normalization constants. We specifically focus on a problem class arising in Bayesian …

High-fidelity fluid-structure interaction (FSI) simulations of the ASPIRE SR01 supersonic
parachute flight test are performed through the loose coupling of computational fluid …

A general‐purpose computational homogenization framework is proposed for the nonlinear
dynamic analysis of membranes exhibiting complex microscale and/or mesoscale …

We propose a new paradigm for designing efficient p-adaptive arbitrary high-order methods.
We consider arbitrary high-order iterative schemes that gain one order of accuracy at each …

The capability of a computational fluid–structure interaction method for simulating thin shell
structures with an immersed boundary method and a nonlinear structural dynamics solver is …

Previous theoretical and computational studies on hypervelocity impact have mainly focused
on the dynamic response of the solid materials that constitute the projectile and the target …