  The number of published articles in the field of materials science is growing
rapidly every year. This comparatively unstructured data source, which contains
a large amount of information, has a restriction on its re-usability, as the
information needed to carry out further calculations using the data in it must
be extracted manually. It is very important to obtain valid and contextually
correct information from the online (offline) data, as it can be useful not
only to generate inputs for further calculations, but also to incorporate them
into a querying framework. Retaining this context as a priority, we have
developed an automated tool, MatScIE (Material Scince Information Extractor)
that can extract relevant information from material science literature and make
a structured database that is much easier to use for material simulations.
Specifically, we extract the material details, methods, code, parameters, and
structure from the various research articles. Finally, we created a web
application where users can upload published articles and view/download the
information obtained from this tool and can create their own databases for
their personal uses.
