Since their inception, computational homogenization methods based on the fast Fourier
transform (FFT) have grown in popularity, establishing themselves as a powerful tool …

MPI for Python (mpi4py) has evolved to become the most used Python binding for the
message passing interface (MPI). We report on various improvements and features that …

Fourier neural operators (FNOs) are a recently introduced neural network architecture for
learning solution operators of partial differential equations (PDEs), which have been shown …

This paper presents new advances in GPU-driven Fourier pseudo-spectral numerical
algorithms, which allow the simulation of turbulent fluid flow at problem sizes beyond the …

We study gauge preheating following pseudoscalar-driven inflation in full general relativity.
We implement the Baumgarte-Shapiro-Shibata-Nakamura (BSSN) scheme to solve the full …

This contribution focuses on the development of an adaptive hierarchical FFT-based
approach for the efficient solution of microscale boundary value problems. To this end, the …

Pairs of misalignment-produced axions with nearby masses can experience a nonlinear
resonance that leads to enhanced direct and astrophysical signatures of axion dark matter …

A hybrid data‐physics driven reduced‐order homogenization (dpROH) approach aimed at
improving the accuracy of the physics‐based reduced order homogenization (pROH), but …

We show that the nonperturbative decay of ultralight scalars into Abelian gauge bosons,
recently proposed as a possible solution to the Hubble tension, produces a stochastic …

Reduced-order homogenization (ROH) and related methods are important computational
tools for simulating the material behavior of composites. These methods generally sacrifice …