Scientific Computing’s focused coverage of software and related hardware technologies for the scientific and engineering communities highlights the latest applications, best practices, and integration strategies that can aid in advancing research and in delivering quality results better, faster, and cheaper. Areas of focus include informatics, data analysis, data acquisition, integration and interfacing, and automation.
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