Data supporting "Lessons learned from multi-objective automatic optimizations of classical three-site rigid water models using microscopic and macroscopic target experimental observables"
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/10257205
下载链接
链接失效反馈官方服务：
资源简介：
This repository contains the set of data and the code to reproduce the results shown in "Lessons learned from multi-objective automatic optimizations of classical three-site rigid water models using microscopic and macroscopic target experimental observables" published on Journal of Chemical Engineering and Data (DOI: 10.1021/acs.jced.3c00538).
创建时间：
2023-12-04
