Leveraging Physics-Informed Neural Networks for Efficient Modelling of Coastal Ecosystems Dynamics: A Case Study of Sundarbans Mangrove Forest

Majdi Fanous; Jonathan Eden; Juntao Yang; Simon See; Vasile Palade; Alireza Daneshkhah

Leveraging Physics-Informed Neural Networks for Efficient Modelling of Coastal Ecosystems Dynamics: A Case Study of Sundarbans Mangrove Forest

Majdi Fanous, Jonathan Eden, Juntao Yang, Simon See, Vasile Palade, Alireza Daneshkhah

Research output: Contribution to journal › Article › peer-review

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Original language	English
Journal	Ecological Informatics
Publication status	Accepted/In press - 23 Jun 2025

Themes

Climate and Environmental Change

Cite this

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title = "Leveraging Physics-Informed Neural Networks for Efficient Modelling of Coastal Ecosystems Dynamics: A Case Study of Sundarbans Mangrove Forest",

author = "Majdi Fanous and Jonathan Eden and Juntao Yang and Simon See and Vasile Palade and Alireza Daneshkhah",

year = "2025",

month = jun,

day = "23",

language = "English",

journal = "Ecological Informatics",

publisher = "Elsevier",

}

TY - JOUR

T1 - Leveraging Physics-Informed Neural Networks for Efficient Modelling of Coastal Ecosystems Dynamics: A Case Study of Sundarbans Mangrove Forest

AU - Fanous, Majdi

AU - Eden, Jonathan

AU - Yang, Juntao

AU - See, Simon

AU - Palade, Vasile

AU - Daneshkhah, Alireza

PY - 2025/6/23

Y1 - 2025/6/23

M3 - Article

JO - Ecological Informatics

JF - Ecological Informatics

ER -