Frontiers in Astronomy and Space Sciences

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Journal notices

Frontiers in Astronomy and Space Sciences Sponsors EAS 2026

We are proudly sponsoring the European Astronomical Society Annual Meeting 2026 - June 29 to July 3

Universality and variability of the heavy r-process element abundance pattern

This study demonstrates that a nonequilibrium freeze-out approach provides a natural way of accounting for the typical abundance pattern of heavy r-process elements in stars and its variation.

Characterizing solar cycle influence on long-term orbital deterioration of space debris

How variations in solar cycle activity drive thermospheric density changes, directly impacting the drag and long-term orbital decay of space debris in low-Earth orbit.

Selection of beneficial fungi for plants with the potential to metabolize lunar and Martian regolith

How beneficial extremophilic and plant growth-promoting fungi can transform toxic, nutrient-poor lunar and Martian regolith into functional soils for sustainable space agriculture.

Join us at the EPSC 2026

We are proudly sponsoring the Europlanet Science Congress 2026 - September 6 to 11

Space Physics

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Journal notices

Frontiers in Astronomy and Space Sciences Sponsors EAS 2026

Universality and variability of the heavy r-process element abundance pattern

Characterizing solar cycle influence on long-term orbital deterioration of space debris

Selection of beneficial fungi for plants with the potential to metabolize lunar and Martian regolith

Join us at the EPSC 2026

Editors

joseph e borovsky

georgios balasis

ankush bhaskar

michel blanc

Articles

The SunRISE Ground Radio Lab Campaign: Integrating Student Research, Education, and Outreach During the 2024 Total Solar Eclipse

Application of a Numerical Path-Preserving Roe Scheme in Background Solar Wind Simulation

Aurora Forecasting Apps as Communicators of Space Weather: An Exploratory Perspective

Automated detection of pulsating aurora using deep learning methods

Research Topics

Wave-Particle Interactions and Electrostatic Diagnostics in Space Plasmas

Machine Learning and Computer Vision for the Solar-Terrestrial Environment: Space Weather, Atmospheric Science, and Next-Generation Instrumentation

Kelvin–Helmholtz Instability and Energy Transfer Across Heliospheric and Planetary Boundaries

Ionospheric Observations and Modeling for Enhanced Space Weather Prediction and GNSS Accuracy