Meena Iyer*
Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India
Received: 01-Mar-2025, Manuscript No. JSMS-25-169987; Editor assigned: 4-Mar-2025, Pre-QC No. JSMS-25-169987 (PQ); Reviewed: 20-Mar-2025, QC No JSMS-25-169987; Revised: 26-Mar- 2025, Manuscript No. JSMS-25-169987 (R); Published: 30-Mar-2025, DOI: 10.4172/RRJ Stats Math Sci. 11.01.002
Citation: Meena Iyer, Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India. RRJ Mater Sci. 2025.11.002.
Copyright: © 2025 Meena Iyer, this is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Mathematics increasingly interacts with other sciences, creating interdisciplinary research that addresses global challenges. This article explores five intersections: bioinformatics, environmental modeling, artificial intelligence, social network analysis, and quantum computation.
Interdisciplinary Contributions
Bioinformatics: Mathematics supports genetic sequencing and protein structure prediction. Algorithms for sequence alignment and probability models help understand biological evolution [1].
Environmental Modeling: Climate change research relies on mathematical models for atmospheric dynamics, carbon cycles, and groundwater systems. PDE-based simulations guide policy decisions [2].
Artificial Intelligence: Mathematics drives AI through optimization, linear algebra, and probability. Reinforcement learning and neural networks are grounded in rigorous mathematical theory [3].
Social Network Analysis: Graph theory and statistics enable mapping of social dynamics, misinformation spread, and influence patterns across digital platforms [4].
Quantum Computation: Quantum algorithms leverage linear algebra and probability to revolutionize computing power, with applications in optimization and cryptography [5].