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The number of published articles in the field of materials science is growingrapidly every year. This comparatively unstructured data source, which containsa large amount of information, has a restriction on its re-usability, as theinformation needed to carry out further calculations using the data in it mustbe extracted manually. It is very important to obtain valid and contextuallycorrect information from the online (offline) data, as it can be useful notonly to generate inputs for further calculations, but also to incorporate theminto a querying framework. Retaining this context as a priority, we havedeveloped an automated tool, MatScIE (Material Scince Information Extractor)that can extract relevant information from material science literature and makea structured database that is much easier to use for material simulations.Specifically, we extract the material details, methods, code, parameters, andstructure from the various research articles. Finally, we created a webapplication where users can upload published articles and view/download theinformation obtained from this tool and can create their own databases fortheir personal uses.

MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature