首页/数据集/Data for: Coexistence and bistability of a competition model in open advective environments

Data for: Coexistence and bistability of a competition model in open advective environments

Mendeley Data2024-06-25 更新2024-06-26 收录

数学生物学与化学生物学

反应-扩散模型

数据链接：

https://data.mendeley.com/datasets/tckr75wtf4 数据链接链接失效反馈

官方服务：

资源简介：

Our research interests include reaction-diffusion models and mathematical biology

应用场景：

创建时间：

2024-01-23

表面催化反应

反应-扩散模型

Standing waves are a special type of spatio-temporal pattern observed in the CO oxidation reaction on Pt(110). We present new experimental data that indicate the important role played by the formation

NIAID Data Ecosystem150

MATLAB Code from The auxiliary region method: a hybrid method for coupling PDE- and Brownian-based dynamics for reaction–diffusion systems

反应-扩散模型

多尺度动力学

Zip file containing all of the code required to run the ARM.

The Royal Society Figshare2018-08-01 更新60

Regularised LEMUR simulator for deformation band study

变形带研究

反应-扩散模型

Source code for LEMUR simulator with the reaction-diffusion regularisation. The simulator is developed based on MOOSE environment.

doi.org50

sj-tex-2-hpc-10.1177_10943420211045939 – Supplemental Material for Highly scalable numerical simulation of coupled reaction–Diffusion systems with moving interfaces

反应-扩散模型

高性能计算

Supplemental Material, sj-tex-1-hpc-10.1177_10943420211045939 for Highly scalable numerical simulation of coupled reaction–Diffusion systems with moving interfaces by Mojtaba Barzegari and Liesbet Ger

DataCite Commons2024-08-28 更新80

Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains.

相分离

反应-扩散模型

* Cahn-Hilliard simulations * Finite difference code implementing the modified Cahn Hilliard equation with a forward Euler scheme and the possibility to parallelize the solver using t

DataCite Commons2025-05-28 更新50

Data for: Coexistence and bistability of a competition model in open advective environments

资源简介：

相关数据集