A data-based reduced-order model (ROM) is developed to accelerate the time integration of
stiff chemically reacting systems by effectively removing the stiffness arising from a wide …

The gas-phase reaction networks are the backbone of astrochemical models. However, due
to their complexity and nonlinear impact on the astrochemical modeling, they can be the first …

Astrochemical modelling of the interstellar medium typically makes use of complex
computational codes with parameters whose values can be varied. It is not always clear …

Astrochemical models are important tools to interpret observations of molecular and atomic
species in different environments. However, these models are time-consuming, precluding a …

Context. Stars with an initial mass below~ 8 M⊙ evolve through the asymptotic giant branch
(AGB) phase, during which they develop a strong stellar wind, due to radiation pressure on …

Machine learning has had an enormous impact in many scientific disciplines. It has also
attracted significant interest in the field of low-temperature plasma (LTP) modeling and …

Context. The interpretation of observations of atomic and molecular tracers in the galactic
and extragalactic interstellar medium (ISM) requires comparisons with state-of-the-art …

The formation of our solar system occurred approximately 4.6 billion years ago as a result of
the gravitational collapse of a small portion of a giant molecular cloud. The origin of life on …

We introduce a novel approach to modelling the nebular emission from star-forming
galaxies by combining the contributions from many H ii regions incorporating loose trends in …

In this era of exoplanet characterization with JWST, the need for a fast implementation of
classical forward models to understand the chemical and physical processes in exoplanet …