Work

MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks

Year: 2021

Type: dataset

Abstract: Solvent removal stability and thermal stability associated with structurally characterized metal organic frameworks.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5508356

Authors: Nandy, Aditya, Terrones, Gianmarco, Arunachalam, Naveen, Duan, Chenru, Kastner, David W., Kulik, Heather J.

Institution: Massachusetts Institute of Technology

Language: English

Topic: Metal-Organic Frameworks: Synthesis and Applications

Subfield: Inorganic Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393730127

Cites:

Cited by: 1

Related to: 10