Scientific Computing (SC)

Scientific Computing was a professional trade journal focused on the application of computer science and numerical methods to scientific and engineering problems. It served as a communication platform for researchers, engineers, and industry professionals working in high-performance computing, simulation software, data analysis, and computational modeling. The journal primarily emphasized practical implementation of computational techniques rather than purely theoretical research. The publication covered a wide range of topics including numerical algorithms, parallel computing, computational physics, bioinformatics, engineering simulations, data visualization, software tools, and emerging technologies in scientific software development. It also featured industry news, product reviews, case studies, and reports on advancements in computing hardware and software systems used in scientific research environments. Unlike academic journals, Scientific Computing was more industry-oriented and focused on bridging the gap between scientific research and real-world computational applications. It highlighted innovations in computational efficiency, workflow automation, and large-scale simulations used in fields such as aerospace, healthcare, climate modeling, and industrial engineering.

Scientific Computing (SC) is :-

• International, Peer-Reviewed, Open Access, Refereed, Scientific Computing, Computer Science (miscellaneous), Numerical Computing, High Performance Computing (HPC), Computational Methods, Simulation Software, Data Processing Technologies, numerical algorithms, parallel computing, computational physics, bioinformatics, engineering simulations, data visualization, software tools, emerging technologies in scientific software development, simulation software, data analysis, computational modeling , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1524-2560, Established: 1996,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE