id: 29
Nov. 20, 2021
Database

QMOF

University Of California, Berkeley | 2021

A.S. Rosen; S.M. Iyer; D. Ray; Z. Yao; A. Aspuru-Guzik; L. Gagliardi; J.M. Notestein; R.Q. Snurr;

Description:

The Quantum MOF (QMOF) Database is a publicly available dataset of quantum-chemical properties for metal–organic frameworks (MOFs) and coordination polymers derived from high-throughput periodic density functional theory calculations.

Citation:

A.S. Rosen, S.M. Iyer, D. Ray, Z. Yao, A. Aspuru-Guzik, L. Gagliardi, J.M. Notestein, R.Q. Snurr. "Machine Learning the Quantum-Chemical Properties of Metal–Organic Frameworks for Accelerated Materials Discovery", Matter, 4, 1578-1597 (2021). DOI: 10.1016/j.matt.2021.02.015.

Keywords:

metal–organic frameworks, coordination polymers, high-throughput,

Curator: laiwei.cool@gmail.com