Engineering Machine Learning features to predict adsorption of carbon dioxide and nitrogen in metal-organic frameworks

Name: Engineering Machine Learning features to predict adsorption of carbon dioxide and nitrogen in metal-organic frameworks
Creator: Zenodo
Published: 2024-03-10T13:50:11+08:00

Zenodo2024-03-15 更新2026-05-26 收录

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https://zenodo.org/doi/10.5281/zenodo.10801868 数据链接链接失效反馈

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资源简介：

This repository contains CIF files for metal-organic frameworks and Grand canonical Monte Carlo (GCMC) simulation results for the article Engineering Machine Learning features to predict adsorption of carbon dioxide and nitrogen in metal-organic frameworks by Zijun Deng and Lev Sarkisov.

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Zenodo

创建时间：

2024-03-10

Engineering Machine Learning features to predict adsorption of carbon dioxide and nitrogen in metal-organic frameworks

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