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

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