Polyaniline: Trends and perspectives from text mining analysis
DOI:
https://doi.org/10.55747/bjedis.v1i1.48404Keywords:
Data Analysis, Statistical Analysis, Data Mining, Polyaniline, Synthesis, Super-Capacitor, Sensor, Properties, Preparation, Performance, Oxide, Nanoparticles, Nanofibers, Nanocomposite, Modified, High, Graphene, Films, Enhanced, Electrode, ElectrochemicalAbstract
Polyaniline (PAni) is the oldest and most studied conductive polymer in the world. This polymer, reported by Letheby in 1862, was substantially better understood due to the tireless efforts of hundreds of scientists. Among them, Professor Alan G. MacDiarmid has contributed with more than one hundred and twenty published papers about PAni. During his last visit to Brazil (MACRO / IUPAC-2006), Professor MacDiarmid stated that "... I am sure there is still much to be studied about polyaniline...". Thus, the objective of this work is to carry out a Text Mining on PAni in the two last decades. For that, the main keywords associated with the material in question will be presented, year by year. This approach allowed seeing how the theme has evolved during this period. Besides that, Text Mining has helped us to extrapolate scenarios for the coming years. Thus, Nanotechnology, Molecular Modeling, and polyaniline will be the main drivers for accelerating the arrival of a new world, where science, machines, systems, and people will work together, bringing more efficient results and increasingly strategic processes, which will benefit all Humankind.
Downloads
Downloads
Published
Issue
Section
License
AUTHORS’ DECLARATION AND COPYRIGHT TRANSFER AGREEMENT
The undersigned authors hereby declare that the submitted manuscript is an original work and has not been previously published or submitted, in whole or in part, to any other journal. The authors further commit not to submit this work to any other journal while it is under consideration by BJEDIS.
We affirm that the manuscript is free from plagiarism, and we accept full responsibility for any allegations of academic misconduct that may arise.
By submitting this manuscript, the authors irrevocably transfer all copyrights of the work—including, without limitation, the rights of reproduction, distribution, translation, and public communication in any form or medium—to BJEDIS. Any breach of this agreement may result in legal action in accordance with the Brazilian Copyright Law (Law No. 9.610 of February 19, 1998).
The authors also declare that there are no conflicts of interest related to this work. All sources of financial support have been properly acknowledged in the funding section of the manuscript.
