A PYTHON SCRIPT TO DATAMINE SCIENTIFIC LITERATURE - USING THE EXAMPLE OF AQUEOUS BATTERIES

Abstract Li-Ion batteries have been the preferred chemistry for secondary batteries for many years, due to its high energy capacity, longer lifetime and light weight. Many scientists are trying to aid the development towards safer and more cost-effective systems. Researchers are increasingly interested in aqueous rechargeable lithium-ion batteries (ARLB) to avoid using flammable and costly electrolytes. Many materials are suitable in the use of salt-water batteries as anode and cathode materials and are being experimented with. In recent years, many research papers have been published with experimental and theoretical data for the suitability of these materials. The materials with an interest have a low instalment cost, long cycling life, high energy efficiency and are sustainable. The aim of this project is to produce a proof of concept python script to extract exemplar data from previously published articles and to build a database of potential electrode materials and electrolytes. The data collected should include electrochemical properties, e.g. potential range, capacity retention and current density. The proposed method used to obtain this data into a database, is by web scraping using a variety of online articles. The data in the articles are presented to the user depending on the criteria selected at the initial input level by the user. The extracted information is also filtered to the criteria chosen by the user.