Cluster-level Pressure Drop
Cluster-Level Pressure Drop is a cluster-level metric that quantifies the average pressure differential within a computational or physical cluster, distinguishing itself from node-level or system-level pressure measures by characterizing aggregate flow resistance specific to the cluster's internal topology and inter-node interactions.
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Publications
156
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22
Authors
14
Institutions
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2017–2026
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1–5 of 8
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Korea Advanced Institute of Science and Technology, South Korea
1 publications · 11 citations
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1–5 of 22
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Czech Academy of Sciences, J. Heyrovský Institute of Physical Chemistry
Prague, Czechia
1 h-index
1 publications
10 citations

Bar-Ilan University
Ramat Gan, Israel
1 h-index
1 publications
17 citations
Institute of Process Engineering
Beijing, China
1 h-index
2 publications
24 citations

University of Tehran
Tehran, Iran
1 h-index
3 publications
57 citations
Harbin Electric Corporation (China)
Harbin, China
1 h-index
1 publications
54 citations
Hebrew University of Jerusalem
Jerusalem, Israel
1 h-index
3 publications
51 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
3 publications
33 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
17 citations
1–8 of 14
1 publications · 19 citations
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1 publications · 12 citations
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1 publications · 21 citations
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JCEJ · 1 publications · 11 citations
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1 publications · 17 citations
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