Aim & Scope

The Abhi International Journal of Scientific Computing (AIJSC) aims to provide a leading scholarly platform for the publication and dissemination of high-quality research, innovative computational methods, emerging technologies, and practical solutions in the field of Scientific Computing.

The journal is committed to advancing theoretical and applied knowledge in computational science and promoting the development of efficient, reliable, and innovative computational techniques for solving complex scientific, mathematical, and engineering problems.

AIJSC welcomes original research articles, review papers, case studies, technical papers, and scholarly contributions addressing significant advances in scientific computing. The scope includes, but is not limited to, the following areas:

  • Numerical Methods and Computational Mathematics: Numerical analysis, numerical algorithms, computational mathematics, approximation techniques, differential equations, linear and nonlinear systems, and computational optimization.

  • Scientific Modelling and Simulation: Mathematical modelling, computational simulation, system modelling, numerical experimentation, uncertainty analysis, and simulation-based scientific research.

  • High-Performance Computing: Parallel and distributed computing, GPU computing, cloud-based scientific computing, scalable algorithms, computational architectures, and performance optimization.

  • Computational Science and Engineering: Computational approaches to scientific and engineering problems, including computational mechanics, fluid dynamics, structural analysis, materials science, and multidisciplinary engineering applications.

  • Computational Physics and Applied Sciences: Computational methods for physical systems, mathematical physics, quantum and statistical computing, computational chemistry, earth and environmental sciences, and related applications.

  • Computational Biology and Medical Computing: Computational methods in bioinformatics, systems biology, biomedical modelling, medical data analysis, image and signal processing, and computational approaches to healthcare research.

  • Data-Driven Scientific Computing: Scientific data analysis, computational statistics, data-intensive computing, machine learning for scientific applications, scientific visualization, and data-driven modelling.

  • Optimization and Intelligent Computational Methods: Optimization algorithms, evolutionary and heuristic methods, metaheuristics, computational intelligence, and algorithmic approaches for complex scientific and engineering problems.

  • Emerging Computational Technologies: Innovative computational paradigms, advanced algorithms, digital twins, quantum computing, computational sustainability, and other emerging technologies relevant to scientific computing.

The Abhi International Journal of Scientific Computing (AIJSC) particularly encourages research that combines theoretical rigor, computational innovation, and practical relevance. The journal seeks to provide an interdisciplinary forum for researchers, academicians, scientists, engineers, industry professionals, and practitioners to exchange knowledge, present innovative computational solutions, and discuss emerging challenges in scientific computing.

Through the publication of high-quality and impactful research, AIJSC aims to contribute to the advancement of computational science, promote innovative and efficient computational methodologies, and facilitate the translation of scientific computing research into practical solutions for contemporary scientific, technological, and engineering challenges.