ICE is used extensively in fields ranging from analyzing nuclear reactors to neutron reflectivity simulation. It improves productivity and streamlines workflows for computational scientists as they create input files, launch jobs on local or remote machines, or process the resulting output. The Integrated Computational Environment (ICE) is a rich modeling and simulation workbench. ICE plugins for MOOSE, shown after the real-time running and post-processing of a 3D convection simulation ICE (Oak Ridge National Laboratory, U.S.) ChemClipse enables chemists to evaluate data sets and use functionality like peak detection and peak integration to identify substances as well as produce reports. These techniques are used to identify the underlying components that make up materials, so are used heavily in fields such as forensics, quality control and food analytics. It is used to analyze data from chromatography and mass spectrometry experiments. DAWNSci's underlying numerical data structures have been spun off to be independently reusable as part of the Eclipse January project.ĬhemClipse in action analyzing different wood samples to help identify their provenanceĬhemClipse is an open source workbench for analytical chemistry. Its features include 1D, 2D, and 3D plotting, processing and workflow algorithms for image analysis, and fully integrated Python support. It is used by leading scientists and researchers on a variety things: viruses, retinas, dinosaur bones, and chocolate, to name a few. DAWNSci (Diamond Light Source, U.K.)ĭAWNSci's processing views including the 3D volume & isosurfaces of a lizardĭAWNSci is a data analysis workbench developed by a collaboration of synchrotron sites. Every one of them is open source and built on Java and Eclipse RCP. Here are five great scientific workbenches from members of the Eclipse Science Group. The companies and institutions behind these workbenches got together to collaborate on these tools, and so the Eclipse Science Working Group was born. Several scientific workbenches have been built on top of the Eclipse Rich Client Platform (RCP) framework and offer up open source environments for processing and visualizing data. In various domains, highly sophisticated scientific workbenches have been developed to enable scientists and researchers to quickly make sense of their data in a reproducible way. Scientific tools are rapidly scaling to meet the increasing demands of their users, both in terms of complexity and sheer volumes of data. Gone are the days of scientists processing data by hand.
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