Methods and data for: Modeling of Nonideal Compressible Fluids with Physics-Informed Neural Networks
收藏DataCite Commons2026-01-30 更新2026-02-07 收录
下载链接：
https://data.4tu.nl/datasets/d3bdf118-d126-4ce2-ab6a-e7b7a91b00f5
下载链接
链接失效反馈官方服务：
资源简介：
Scripts and data used to produce the results presented in E.Bunschoten, A.Cappiello, M.Pini: "Data-driven regression of thermodynamic models in entropic form using physics-informed machine learning" in <em>Computers and Fluids </em>306,106932, 2026. doi: https://doi.org/10.1016/j.compfluid.2025.106932 and in Chapter 3 of the doctoral dissertation of E.Bunschoten titled "Consistent data-driven equations of state for reacting and nonideal compressible fluids".
提供机构：
4TU.ResearchData
创建时间：
2026-01-30
