Materials Informatics
Materials Informatics is an interdisciplinary academic field that belongs to the broader domain of computational materials science, distinguished by its systematic application of data science, machine learning, and statistical methods to accelerate the discovery, design, and deployment of materials through the analysis and integration of experimental and computational materials data.
1.4K
Publications
127.7K
Citations
5K
Authors
1.3K
Institutions
Publications per year
2017–2026
1.1K
1.4K
Machine-learning-assisted materials discovery using failed experiments
Paul Raccuglia, Katherine C. Elbert, Philip Adler et al. · Nature · 2016 · 1.7K citations
Natural Sciences, Materials Engineering, Materials Science +12
1–5 of 1.4K
5K
Lawrence Berkeley National Laboratory, United States
29 publications · 18.6K citations
25
h-index
17
h-index
16
h-index
15
h-index
15
h-index
1–5 of 5K
1.3K
Northwestern University
Evanston, United States
43 h-index
168 publications
50.2K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
42 h-index
224 publications
185.3K citations
University of California, Berkeley
Berkeley, United States
32 h-index
110 publications
20.4K citations
National Institute of Standards and Technology
Gaithersburg, United States
32 h-index
138 publications
21.6K citations
Georgia Institute of Technology
Atlanta, United States
32 h-index
114 publications
15.1K citations

Shanghai University
Shanghai, China
27 h-index
123 publications
15.1K citations
Argonne National Laboratory
Lemont, United States
27 h-index
73 publications
9.2K citations
Massachusetts Institute of Technology
Cambridge, United States
27 h-index
103 publications
152.2K citations
1–8 of 1.3K
65 publications · 7.7K citations
40
h-index
59 publications · 10.9K citations
40
h-index
24 publications · 2.8K citations
23
h-index
29 publications · 1.3K citations
22
h-index
22 publications · 2.6K citations
21
h-index
1–5