In this review we describe a transient type of gas discharge which is commonly called a
streamer discharge, as well as a few related phenomena in pulsed discharges. Streamers …

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

Computational trajectory inference enables the reconstruction of cell state dynamics from
single-cell RNA sequencing experiments. However, trajectory inference requires that the …

We present a method for mitigating measurement errors on quantum computing platforms
that does not form the full assignment matrix, or its inverse, and works in a subspace defined …

Automatic differentiation (autodiff) has revolutionized machine learning. Itallows to express
complex computations by composing elementary ones in creativeways and removes the …

The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …

Harnessing modern parallel computing resources to achieve complex multiphysics
simulations is a daunting task. The Multiphysics Object Oriented Simulation Environment …

Abstract The Adaptive Poisson–Boltzmann Solver (APBS) software was developed to solve
the equations of continuum electrostatics for large biomolecular assemblages that have …

Image reconstruction is essential for imaging applications across the physical and life
sciences, including optical and radar systems, magnetic resonance imaging, X-ray …

In many situations across computational science and engineering, multiple computational
models are available that describe a system of interest. These different models have varying …