activity
20092023
most citedKROME - a package to embed chemistry in astrophysical simulations

248 citations · 1.1k across the 45 of their papers we have counts for

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Showing astro-ph.IMShow all

6 papers · 1 filter

astro-ph.IM2022★ 45 cited

Binding Energy Evaluation Platform: A database of quantum chemical binding energy distributions for the astrochemical community

Giulia M. Bovolenta, Stefan Vogt-Geisse, Stefano Bovino +1

The quality of astrochemical models is highly dependent on reliable binding energy (BE) values that consider the morphological and energetic variety of binding sites on the surface…

astro-ph.IM2021★ 36 cited

Reducing the complexity of chemical networks via interpretable autoencoders

T. Grassi, F. Nauman, J. P. Ramsey +3

In many astrophysical applications, the cost of solving a chemical network represented by a system of ordinary differential equations (ODEs) grows significantly with the size of th…

astro-ph.IM2019★ 45 cited

Broadband spectroscopy of astrophysical ice analogs. I. Direct measurement of complex refractive index of CO ice using terahertz time-domain spectroscopy

B. M. Giuliano, A. A. Gavdush, B. Müller +9

Context: Reliable, directly measured optical properties of astrophysical ice analogs in the infrared (IR) and terahertz (THz) range are missing. These parameters are of great impor…

astro-ph.IM2012★ 17 cited

Chemical complexity in astrophysical simulations: optimization and reduction techniques

T. Grassi, S. Bovino, D. Schleicher +1

Chemistry has a key role in the evolution of the interstellar medium (ISM), so it is highly desirable to follow its evolution in numerical simulations. However, it may easily domin…

astro-ph.IM2012★ 18 cited

Complexity reduction of astrochemical networks

T. Grassi, S. Bovino, F. A. Gianturco +2

We present a new computational scheme aimed at reducing the complexity of the chemical networks in astrophysical models, one which is shown to markedly improve their computational…

astro-ph.IM2011★ 7 cited

MaNN: Multiple Artificial Neural Networks for modelling the Interstellar Medium

T. Grassi, E. Merlin, L. Piovan +2

Modelling the complex physics of the Interstellar Medium (ISM) in the context of large-scale numerical simulations is a challenging task. A number of methods have been proposed to…