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Title: Author Correction: Text-mined dataset of inorganic materials synthesis recipes

Journal Article · · Scientific Data

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1591832
Journal Information:
Scientific Data, Vol. 6, Issue 1; ISSN 2052-4463
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

References (4)

Text-mined dataset of inorganic materials synthesis recipes dataset January 2019
Text-mined dataset of inorganic materials synthesis recipes dataset January 2019
Metadata record for: Text-mined dataset of inorganic materials synthesis recipes dataset January 2019
Auto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction [Supplemental Data] dataset June 2018

Cited By (4)

Polymer informatics: Current status and critical next steps journal April 2021
Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions journal August 2022
Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature preprint January 2020
In Layman's Terms: Semi-Open Relation Extraction from Scientific Texts preprint January 2020