Author Correction: Text-mined dataset of inorganic materials synthesis recipes
Journal Article
·
· Scientific Data
- Univ. of California, Berkeley, CA (United States)
- Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
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, Journal Name: Scientific Data Journal Issue: 1 Vol. 6; ISSN 2052-4463
- Publisher:
- Nature Publishing GroupCopyright Statement
- Country of Publication:
- United States
- Language:
- English
| 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 |
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 |
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