Published December 4, 2023
| Version v1
Dataset
Open
Data supporting "Lessons learned from multi-objective automatic optimizations of classical three-site rigid water models using microscopic and macroscopic target experimental observables"
Authors/Creators
- 1. Università degli Studi di Milano
Description
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).
Files
WATEROPTI.zip
Files
(1.2 GB)
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