Concepedia

Data-driven Coupling Models

Data-Driven Coupling Models is a multiphysics coupling framework that integrates physical subsystems through data-driven relationships inferred from observational or simulated data, rather than relying solely on first-principles physical laws or predefined coupling mechanisms.

41

Publications

1.7K

Citations

158

Authors

93

Institutions

Publications per year

2017–2026

33

Parents

Publications

41

Cyber-physical-social system in intelligent transportation

Gang Xiong, Fenghua Zhu, Xiwei Liu et al. · IEEE/CAA Journal of Automatica Sinica · 2015 · 255 citations

, , +14

Application of Artificial Intelligence in Computational Fluid Dynamics

Bo Wang, Jingtao Wang · Industrial & Engineering Chemistry Research · 2021 · 97 citations

, , +11

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

Omer San, Adil Rasheed, Trond Kvamsdal · GAMM-Mitteilungen · 2021 · 74 citations

, , +17

Physics-augmented Deep Learning to Improve Tropical Cyclone Intensity and Size Estimation from Satellite Imagery

Jing‐Yi Zhuo, Zhe‐Min Tan · Monthly Weather Review · 2021 · 71 citations

, , +16

Extraterrestrial Axion Search with the Breakthrough Listen Galactic Center Survey

Joshua W. Foster, Samuel J. Witte, Matthew Lawson et al. · Physical Review Letters · 2022 · 62 citations · Full text

, , +15

1–5 of 41

Authors

158

  1. SC
    Subodh Chandra Pal

    University of Burdwan, India

    2 publications · 68 citations

    2

    h-index

  2. RC
    Rabin Chakrabortty

    University of Burdwan, India

    2 publications · 68 citations

    2

    h-index

  3. JW
    Jingtao Wang

    Tianjin University, China

    1 publications · 97 citations

    1

    h-index

  4. YZ
    Yu Zhao

    Zhejiang University, China

    1 publications · 16 citations

    1

    h-index

  5. LY
    Lanbing Yu

    China University of Geosciences, China

    1 publications · 40 citations

    1

    h-index

1–5 of 158

Institutions

93

  1. Centre National de la Recherche Scientifique

    Paris, France

    3 h-index

    7 publications

    305 citations

  2. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    2 publications

    90 citations

  3. University of Burdwan

    Bardhaman, India

    2 h-index

    7 publications

    193 citations

  4. University of California, Berkeley

    Berkeley, United States

    2 h-index

    3 publications

    170 citations

  5. Tongji University

    Shanghai, China

    2 h-index

    1 publications

    26 citations

  6. Chongqing Construction Engineering Investment Holding (China)

    Chongqing, China

    1 h-index

    1 publications

    37 citations

  7. Mansoura University

    Al Mansurah, Egypt

    1 h-index

    1 publications

    40 citations

  8. Royal Botanic Garden Sydney

    Sydney, Australia

    1 h-index

    1 publications

    18 citations

1–8 of 93

Venues

  1. Process Safety and Environmental Protection

    2 publications · 40 citations

    2

    h-index

  2. Industrial & Engineering Chemistry Research

    2 publications · 123 citations

    2

    h-index

  3. Journal of Applied Physics

    1 publications · 43 citations

    1

    h-index

  4. Journal of Hydrology Regional Studies

    1 publications · 16 citations

    1

    h-index

  5. Journal of Hydrology

    1 publications · 48 citations

    1

    h-index

1–5