Virtual Special Issue on Applications of AI in Space Physics and Exploration Instruments

Introduction:

Artificial intelligence (AI) has remarkably transformed space science, driving breakthroughs in data analysis, numerical modeling, and the design/optimization of space exploration instruments. These advancements have not only deepened fundamental scientific understanding but also accelerated practical applications in space weather forecasting and instrumentation.

This Special Issue invites high-quality contributions on AI applications across space science and planetary science domains, including magnetosphere, ionosphere, and solar activity studies, numerical simulation, space weather modeling, deep space exploration systems, low-altitude space technology utilization, GNSS applications, novel materials/technologies for space detection, and other relevant fields.

Topics covered:

• New data-driven approaches for space weather prediction and forecasting
• AI-driven astronomical data mining in space science
• AI-assisted data analysis and modeling in space physics
• AI-driven design methods for space exploration systems
• Novel AI-optimized materials/technologies for space detection instruments
• Physics-informed neural networks (PINN) in space science applications
• AI-driven approaches for solar radio burst recognition
• Low-altitude space technology enhanced by AI methodologies

Important Deadline:

Submission deadline: 10 October 2026

Submission Instructions: 

Please read the Guide for Authors before submitting. All articles should be submitted online, please select VSI: AI in Space Physics on submission. All submissions will undergo a normal peer-review process.

Guest Editors:

• Prof. Fabao Yan, Shandong University, China. Email: hjc-8555@sdu.edu.cn
• Prof. Chao Yue, Peking University, China. Email: yuechao@pku.edu.cn
• Prof. Si Liu, Changsha University of Science and Technology, China. Email: liusi@csust.edu.cn
• Prof. Hui Zhu, Shandong University, China. Email: huizhu@sdu.edu.cn
• Prof. Zhou Chen, Nanchang University, China. Email: chenzhou760@foxmail.com