five

temo: teqp-based Thermodynamic Model Optimization

收藏
NIST Chemistry WebBook2025-01-10 更新2026-03-14 收录
下载链接:
https://data.nist.gov/od/id/mds2-3632
下载链接
链接失效反馈
官方服务:
资源简介:
This library make the process of fitting highly accurate thermodynamic mixture models much easier, facilitating their use by a large swath of the community. A modular Python-based library is developed, with methods for a number of the common operations (loading of data files, adding additional helper data, building a cost function, plotting results, etc.). The user is required to define the cost function, and an example showing how that can be achieved is presented.
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作