Data-driven materials research enabled by natural language processing and information extraction

Data-driven materials research enabled by natural language processing and information extraction

© 2020 Author(s). Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly heterogeneous, based on the significant range in...

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Bibliographic Details
Main Authors: Olivetti, Elsa A, Cole, Jacqueline M, Kim, Edward, Kononova, Olga, Ceder, Gerbrand, Han, Thomas Yong-Jin, Hiszpanski, Anna M
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format: Article
Language:English
Published: AIP Publishing 2022
Online Access:https://hdl.handle.net/1721.1/142580

Internet

https://hdl.handle.net/1721.1/142580

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