Foreword: Advanced Science Letters (ASL), Special Issue on Computational Astrophysics
Lucio Mayer (Institute for Theoretical Physics, University of Zurich)

TL;DR
This special issue highlights recent advances in computational astrophysics, showcasing state-of-the-art simulations across diverse topics from asteroid collisions to cosmic reionization, emphasizing the field's growth and interdisciplinary connections.
Contribution
It introduces a comprehensive collection of reviews on modern computational astrophysics, fostering a global understanding and integration of simulation techniques across astrophysical disciplines.
Findings
Showcase of 9 state-of-the-art simulation reviews
Coverage of diverse topics from small-scale collisions to cosmic phenomena
Promotion of interdisciplinary approaches in astrophysics
Abstract
Computational astrophysics has undergone unprecedented development over the last decade, becoming a field of its own. The challenge ahead of us will involve increasingly complex multi-scale simulations. These will bridge the gap between areas of astrophysics such as star and planet formation, or star formation and galaxy formation, that have evolved separately until today. A global knowledge of the physics and modeling techniques of astrophysical simulations is thus an important asset for the next generation of modelers. With the aim at fostering such a global approach, we present the Special Issue on Computational Astrophysics for the Advanced Science Letters (http://www.aspbs.com/science.htm). The Advanced Science Letters (ASL) is a new multi-disciplinary scientific journal which will cover extensively computational astrophysics and cosmology, and will act as a forum for the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Computational Physics and Python Applications
