AIR Journal of Mathematics and Computational Sciences
AI-Reviewed Research in Mathematics and Computational Sciences
Journal Information
Journal DOI:
10.65737/AIRMCS
Journal ISSN:
3142-7197
Publisher:
Artificial Intelligence Review AIR Publishing House LLC
Publication Model:
Open Access (CC BY 4.0)
Review Type:
AI-Powered Peer Review | Under Strict Scholarly Supervision
Scope & Coverage
The AIR Journal of Mathematics and Computational Sciences publishes high-quality research across pure mathematics, applied mathematics, statistics, data science, and theoretical computer science.
Topics Include:
Pure Mathematics
- Algebra and Number Theory
- Analysis and Calculus
- Topology and Geometry
- Differential Equations
- Logic and Set Theory
- Combinatorics
- Group Theory
Applied Mathematics
- Numerical Analysis
- Optimization Theory
- Mathematical Modeling
- Dynamical Systems
- Operations Research
- Mathematical Physics
- Financial Mathematics
Statistics and Computational
- Probability Theory
- Statistical Inference
- Data Science
- Machine Learning Theory
- Algorithm Design and Analysis
- Computational Complexity
- Cryptography Theory
Featured Articles
AIRMCS2026211
February 13, 2026
GCD-Augmented Fibonacci Sequences: Closed Forms for Generalized Seeds.
AIRMCS2026277
February 19, 2026
Characterizing In-Context Learning: When Can Transformers Match Standard Learning Algorithms?
AIRMCS2026322
February 26, 2026
Quantum-Enhanced In-Context Learning for Geopotential Field Estimation: A Theoretical Framework.
AIRMCS2026405
March 04, 2026
ICL Characterization of Climate Foundation Models: When Can Transformers Learn Weather and Climate?
Featured articles are listed with authors' permission. This selection represents a sample of published works and is not a comprehensive list.
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