About the Journal

The Abhi International Journal of Scientific Computing (AIJSC) is a premier peer-reviewed publication dedicated to advancing the field of scientific computing and its diverse applications across various disciplines. The journal serves as a platform for the exchange of cutting-edge research, methodologies, and technologies in the rapidly evolving area of computational science. It aims to address the growing need for high-performance computing tools, algorithms, and models to solve complex scientific, engineering, and industrial problems.

The journal publishes original research, reviews, case studies, and technical notes that focus on the development, analysis, and application of computational techniques in fields such as physics, chemistry, biology, engineering, mathematics, and data science. It also encourages submissions that explore the integration of emerging technologies such as machine learning, artificial intelligence, and big data analytics with scientific computing. By fostering interdisciplinary collaboration, the journal seeks to highlight the impact of computational methods in enhancing problem-solving capabilities and driving innovation in both academic research and real-world applications.

In addition to fundamental computational methods, the Abhi International Journal of Scientific Computing (AIJSC) also emphasizes the practical aspects of scientific computing, including algorithm design, numerical simulations, parallel computing, optimization, and high-performance computing (HPC). The journal promotes the development of tools and software that facilitate research across various scientific domains and encourages contributions that demonstrate the effective application of these tools to solve complex, large-scale problems.

Through its commitment to rigorous peer review, open-access publishing, and global collaboration, the Abhi International Journal of Scientific Computing (AIJSC) aims to be a leading resource for researchers, educators, and practitioners in the field. It aspires to inspire further advancements in computational science and contribute to the growth of new methodologies and technologies that can address the scientific and technological challenges of the future.