High-throughput Computation
High-Throughput Computation is a computational methodology that systematically and rapidly executes large-scale simulations or calculations on diverse material structures or chemical compositions to accelerate materials discovery and characterization.
773
Publications
113.9K
Citations
3.6K
Authors
1K
Institutions
Publications per year
2017–2026
402
773
Search and clustering orders of magnitude faster than BLAST
R. C. Edgar · Bioinformatics · 2010 · 21.7K citations · Full text
1–5 of 773
3.6K
Lawrence Berkeley National Laboratory, United States
13 publications · 14.8K citations
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8
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Xinjiang Technical Institute of Physics & Chemistry, China
7 publications · 376 citations
7
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1K
University of California, Berkeley
Berkeley, United States
24 h-index
74 publications
15.3K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
22 h-index
138 publications
149.3K citations
Massachusetts Institute of Technology
Cambridge, United States
17 h-index
66 publications
151.5K citations
Stanford University
Stanford, United States
15 h-index
31 publications
2.4K citations
University of Michigan
Ann Arbor, United States
15 h-index
70 publications
15.4K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
47 publications
2.4K citations
Tsinghua University
Beijing, China
14 h-index
50 publications
9.4K citations

Oak Ridge National Laboratory
Oak Ridge, United States
12 h-index
48 publications
4.3K citations
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36 publications · 27.9K citations
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19 publications · 1.4K citations
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18 publications · 720 citations
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14 publications · 2.4K citations
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Repository · 17 publications · 645 citations
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