研究论文
A comparative study of physics-informed neural network strategies for modeling water and nitrogen transport in unsaturated soils
Hamza Kamil, Azzeddine Soulaïmani, Abdelaziz Beljadid
Université Mohammed VI Polytechnique École de Technologie Supérieure University of Ottawa
来源Journal of Hydrology
年份2025
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。
逐年被引趋势
950
25
926
关键指标
12
被引次数 · OpenAlex
6.60
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 3%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
71
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
AI 辅助阅读
依据：文献信息
论文问答
当前基于文献信息回答
可就本文提问；依据不足时会说明。
学术脉络
学科主题
物理Model Reduction and Neural Networks
Soil and Unsaturated Flow · Groundwater flow and contamination studies
参考文献 71
Stability of gravity‐driven multiphase flow in porous media: 40 Years of advancements
被引 114David A. DiCarlo · Water Resources Research · 2013
Adam: A Method for Stochastic Optimization
被引 83,533Diederik P. Kingma, Jimmy Lei Ba · arXiv (Cornell University) · 2014
On the porous‐continuum modeling of gravity‐driven fingers in unsaturated materials: Extension of standard theory with a hold‐back‐pile‐up effect
被引 82Mehdi Eliassi, Robert J. Glass · Water Resources Research · 2002
此处列出前 3 条
引用本文 12
Physics-informed extreme learning machine with time-marching and random features for unsaturated groundwater flow
被引 4Biao Yuan, Roberto Cudmani, Wei Yan · Journal of Hydrology · 2026
TKLE-BPINN: A Bayesian physics-informed inversion framework for high-dimensional parameter identification in geotechnical subsurface systems
被引 3Zhenjie Tang, Li He · Computers and Geotechnics · 2026
Utilizing physics-informed neural network and geotechnical distance field for solving three-dimensional nonlinear consolidation
被引 2Tran-Gia-Khiem Nguyen, Jongmuk Won · Computers and Geotechnics · 2026
按被引量排序，此处列出前 3 条