The storage of hydrogen in underground reservoirs comprises a potential solution for
balancing the fluctuating energy production from wind and solar power plants. In this …

Stencil computations are widely used from physical simulations to machine-learning. They
are embarrassingly parallel and perfectly fit modern hardware such as Graphic Processing …

Modeling the performance of a highly configurable software system requires capturing the
influences of its configuration options and their interactions on the system's performance …

Structured adaptive mesh refinement (SAMR) techniques can enable cutting-edge
simulations of problems governed by conservation laws. Focusing on the strictly hyperbolic …

Background and aims Although modelling of water and nutrient uptake by root systems has
advanced considerably in recent years, steep local gradients of nutrient concentration near …

We discuss the phase structure of the two-flavor quark-meson model including quantum,
thermal, density and critical fluctuations with the functional renormalization group. This study …

An integrated multi-physics simulation capability for the design and analysis of current and
future nuclear reactor models is being investigated, to tightly couple neutron transport and …

Coarse-grained models of soft matter are usually combined with implicit solvent models that
take the electrostatic polarizability into account via a dielectric background. In biophysical or …

In the present work we set up a general functional renormalisation group framework for the
computation of complex effective actions. For explicit computations we consider both flows of …

This article presents an efficient and robust algorithm for the numerical solution of the Allen‐
Cahn equation, which represents the motion of antiphase boundaries. The proposed …