首页/数据集/Data of "Physics-constrained deep learning recognition of geochemical patterns"

Data of "Physics-constrained deep learning recognition of geochemical patterns"

NIAID Data Ecosystem2026-05-02 收录

地球化学模式

物理约束深度学习

数据链接：

https://zenodo.org/record/4646468 数据链接链接失效反馈

官方服务：

资源简介：

The raw data of paper "Physics-constrained deep learning recognition of geochemical patterns"

应用场景：

创建时间：

2024-07-19

色谱过程模拟

物理约束深度学习

This article presents the capabilities of machine learning in addressing the challenges related to the accurate description of adsorption equilibria in the design of chromatographic processes. Our pre

Figshare2023-03-28 更新30

Code.zip

地球化学模式

物理约束深度学习

Physics-constrained deep learning recognition of geochemical patterns

NIAID Data Ecosystem30

Urban Inundation Forecasting from Sparse Drainage-Network Hydrodynamic States: A Physics-Constrained Graph–LSTM Surrogate Model

城市内涝预测

物理约束深度学习

The data uploaded this time are the foundational data used in the process of building the physics-constrained Graph-LSTM surrogate model for urban inundation forecasting from sparse drainage-network h

Zenodo2026-01-27 更新10

Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints"

土壤水分预测

物理约束深度学习

Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints"，specifically included are water content data from 55 in situ

4TU.ResearchData2023-05-15 更新30

Data of "Physics-constrained deep learning recognition of geochemical patterns"

地球化学模式

物理约束深度学习

The raw data of paper "Physics-constrained deep learning recognition of geochemical patterns"

Zenodo2021-03-30 更新20