Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

    Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning

    New search for: Lan, Peng
    New search for: Su, Jingjing
    New search for: Zhu, Shuairun
    New search for: Huang, Jinsong
    New search for: Zhang, Sheng

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning

    New search for: Lan, Peng
    New search for: Su, Jingjing
    New search for: Zhu, Shuairun
    New search for: Huang, Jinsong
    New search for: Zhang, Sheng

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning

    New search for: Lan, Peng
    New search for: Su, Jingjing
    New search for: Zhu, Shuairun
    New search for: Huang, Jinsong
    New search for: Zhang, Sheng

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning

    Additional title:

    Computers and Geotechnics

    Contributors:

    Lan, Peng (author) / Su, Jingjing (author) / Zhu, Shuairun (author) / Huang, Jinsong (author) / Zhang, Sheng (author)

    Published in:

    Computers and Geotechnics ; 168 ; 106162

    Publication date:

    2024-04-01

    ISSN:

    0266-352X

    DOI:

    https://doi.org/10.1016/j.compgeo.2024.106162

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Similar titles

    Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning

    Lan, Peng / Su, Jingjing / Zhu, Shuairun et al. | Elsevier | 2024

    Physics-informed hybrid modeling methodology for building infiltration

    Zhang, Liang / Kaufman, Zoe / Leach, Matt | Elsevier | 2024

    Physics-Informed Deep Learning for Computational Elastodynamics without Labeled Data

    Rao, Chengping / Sun, Hao / Liu, Yang | ASCE | 2021

    Physics-informed deep learning for one-dimensional consolidation

    Yared W. Bekele | DOAJ | 2021

    Free access

    SenseNet: A Physics-Informed Deep Learning Model for Shape Sensing

    Qiu, Yitao / Arunachala, Prajwal Kammardi / Linder, Christian | ASCE | 2023

    Back to top