Materials Knowledge Graphs
Materials Knowledge Graphs is a structured representation of materials science data that organizes entities and their relationships within a unified semantic framework, distinguishing it from general knowledge graphs through its specific focus on materials properties, synthesis methods, and performance characteristics.
103
Publications
8.9K
Citations
440
Authors
162
Institutions
Publications per year
2017–2026
69
Parents
103
Unsupervised word embeddings capture latent knowledge from materials science literature
Vahe Tshitoyan, John Dagdelen, Leigh Weston et al. · Nature · 2019 · 1.1K citations · Full text
Anubhav Jain, Geoffroy Hautier, Shyue Ping Ong et al. · Journal of materials research/Pratt's guide to venture capital sources · 2016 · 247 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +17
1–5 of 103
440
Lawrence Berkeley National Laboratory, United States
6 publications · 2.7K citations
6
h-index
4
h-index
4
h-index
3
h-index
3
h-index
1–5 of 440
162

Lawrence Berkeley National Laboratory
Berkeley, United States
11 h-index
35 publications
18.6K citations
University of California, Berkeley
Berkeley, United States
10 h-index
18 publications
8.2K citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
19 publications
1.2K citations
Federal Institute For Materials Research and Testing
Berlin, Germany
5 h-index
23 publications
1.2K citations
University of Wisconsin–Madison
Madison, United States
4 h-index
6 publications
2.3K citations
Northwestern University
Evanston, United States
4 h-index
9 publications
2.4K citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
5 publications
268 citations

University of Science and Technology Beijing
Beijing, China
4 h-index
8 publications
601 citations
1–8 of 162
7 publications · 430 citations
6
h-index
5 publications · 143 citations
5
h-index
4 publications · 134 citations
4
h-index
4 publications · 2.6K citations
4
h-index
4 publications · 136 citations
4
h-index
1–5