What Is IEEE Computational Science and Engineering?

IEEE Computational Science and Engineering was a peer-reviewed magazine published by the IEEE Computer Society from 1994 to 1998, focused on the application of computational methods to problems in the physical, biological, and engineering sciences. The publication addressed a growing need in the mid-1990s for a venue that treated scientific computing as a discipline in its own right rather than as a branch of either computer science or the individual domain sciences. Its scope covered numerical simulation, algorithm development for scientific problems, data visualization, and the use of parallel and high-performance computing for large-scale modeling. The founding editor-in-chief was Ahmed Sameh, a researcher known for his contributions to parallel algorithms in numerical linear algebra.

The magazine was one of the first IEEE periodicals to explicitly position itself at the intersection of computing and science, reflecting the maturing of computational science as an independent intellectual discipline alongside theory and experiment in scientific research.

History and Founding Scope

IEEE Computational Science and Engineering launched with the recognition that simulation-based science required dedicated editorial attention. Its coverage extended across disciplines that were beginning to rely on large-scale numerical computation: structural mechanics, fluid dynamics, molecular dynamics, computational chemistry, climate modeling, and astrophysical simulation. The magazine published both technical research articles and broader pieces examining the role of computing infrastructure in scientific progress. It was archived on the IEEE Xplore digital library under publication number 99, where its full run from 1994 through 1998 remains accessible.

Interdisciplinary Computing Focus

The magazine's interdisciplinary orientation was its defining editorial commitment. Articles were expected to be accessible to researchers in the target application domain as well as to computer scientists and engineers, a dual-audience requirement that reflected the collaborative structure of computational science projects. Coverage included numerical methods and algorithms alongside the hardware and software infrastructure required to run large simulations: parallel processor architectures, distributed memory systems, scientific visualization tools, and performance benchmarking. This framing treated the computational environment as part of the scientific instrument, not merely as a support tool.

Legacy and Successor Publication

In 1999, IEEE Computational Science and Engineering merged with Computers in Physics, a magazine published by the American Institute of Physics, to form Computing in Science and Engineering, a joint publication of the IEEE Computer Society and AIP Publishing. The founding editor-in-chief of the merged publication was George Cybenko, known for proving an early version of the universal approximation theorem for neural networks. Computing in Science and Engineering continued and expanded the editorial scope of both predecessor magazines, adding coverage from biology, chemistry, and astronomy to the existing physics and engineering focus. The merger was a recognition that the scientific computing community was too small to sustain two separate publications and that cross-disciplinary coverage served readers better than a narrower single-discipline focus.

Applications

IEEE Computational Science and Engineering addressed computing methods with applications across a range of scientific fields, including:

• Numerical fluid dynamics simulation for aerospace and mechanical engineering
• Molecular dynamics modeling in chemistry and materials science
• Climate and atmospheric simulation in the geosciences
• Astrophysical simulation and cosmological modeling
• Parallel algorithm development for distributed high-performance computing systems