Mathematical and Computational Frameworks in Astrophysics

Dear Colleagues,

The field of astrophysics is in a golden age, driven by an unprecedented influx of data from next-generation observatories and significant theoretical advances. Central to this progress are the sophisticated mathematical and computational frameworks that enable us to model, interpret, and understand the universe's most complex phenomena. This Special Issue, "Mathematical and Computational Frameworks in Astrophysics," aims to highlight the pivotal role of these tools in pushing the boundaries of our knowledge. It will serve as a platform for research that demonstrates the development and application of novel mathematical theories, advanced numerical algorithms, and high-performance computing techniques to solve challenging problems in astrophysics. We seek contributions that span a wide scope, from theoretical foundations to cutting-edge applications. Topics of interest include, but are not limited to, numerical relativity and gravitational wave astrophysics, magnetohydrodynamic simulations of astrophysical plasmas, computational stellar and planetary dynamics, Bayesian inference and statistical methods for cosmological parameter estimation, machine learning for astronomical data analysis, and novel numerical methods for solving the equations of radiation transport and fluid dynamics in extreme environments.

Dr. Sanjar Abrarov
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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