Physics-Informed Deep Kernel Method for Partial Differential Equations

NIAID Data Ecosystem2026-05-10 收录

微分方程求解

物理机器学习

数据链接：

https://data.mendeley.com/datasets/d4r5tk94xg 数据链接链接失效反馈

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资源简介：

This Python code implements PiDKM for dynamic system prediction.

创建时间：

2026-04-02

eirikfagerbakke/zk

数值模拟

物理机器学习

Zakharov–Kuznetsov方程数据集包含了解该方程数值解的数据，该方程是Korteweg–de Vries方程的多维推广，用于模拟磁化等离子体中的非线性波传播。数据通过六阶Gauss–Legendre时间积分器和六阶中心有限差分法生成，并在128×128的空间网格上离散化，直到最终时间T=2。每个轨迹包含32个均匀分布的时间快照。初始条件包括两个相互作用波，它们的位置和振幅随机化，适用于

Hugging Face2025-11-10 更新90

Prediction of heat transfer parameters of nuclear reactor based on physical information machine learning algorithm

核反应堆热工水力

物理机器学习

The accurate prediction of the heat transfer coefficient (HTC) under extremely high parameter conditions in nuclear reactors is crucial for reactor design and operation. However, this involves complex

科学数据银行2024-08-29 更新70

PDEBench Pretrained Models

微分方程求解

深度学习科学计算

This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D...

B2FIND20

PGML Dataset

电磁场模拟

物理机器学习

Matlab mat files containing datasets for PGML training and validation Each filename describes both its resolution (lowRes, medRes, highRes) and the plasma wavelength of the metallic ma

Figshare2025-02-21 更新80

16x16 Mini Darcy Flow

Darcy流模拟

微分方程求解

A dataset of input-output pairs of PyTorch Tensors, where x = a(x) = a binary diffusivity constant, and y = u(x) = the flow on the domain. The data is defined on a 16x16 discretization of the unit squ

NIAID Data Ecosystem20

Physics-Informed Deep Kernel Method for Partial Differential Equations

资源简介：

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