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.

8

Publications

156

Citations

22

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

22

  1. SD
    Sang Done Kim

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 11 citations

    1

    h-index

  2. RS
    Rahmat Sotudeh‐Gharebagh

    University of Tehran, Iran

    1 publications · 19 citations

    1

    h-index

  3. TR
    T. Raz

    Hebrew University of Jerusalem, Israel

    1 publications · 17 citations

    1

    h-index

  4. HL
    Huilin Lu

    Harbin Institute of Technology, China

    1 publications · 54 citations

    1

    h-index

  5. HK
    Haya Kornweitz

    Ariel University, Israel

    1 publications · 17 citations

    1

    h-index

1–5 of 22

Venues

  1. Industrial & Engineering Chemistry Research

    1 publications · 19 citations

    1

    h-index

  2. International Journal of Hydrogen Energy

    1 publications · 12 citations

    1

    h-index

  3. Combustion and Flame

    1 publications · 21 citations

    1

    h-index

  4. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

    JCEJ · 1 publications · 11 citations

    1

    h-index

  5. Chemical Physics Letters

    1 publications · 17 citations

    1

    h-index

1–5