ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT

ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT-Derived Partial Atomic Charges and

Towards modeling spatiotemporal processes in metal–organic frameworks: Trends in Chemistry

Large-Scale Refinement of Metal−Organic Framework Structures Using Density Functional Theory

Inner transition metal-modulated metal organic frameworks (IT-MOFs) and their derived nanomaterials: a strategic approach towards stupendous photocata - Nanoscale (RSC Publishing) DOI:10.1039/D3NR00274H

Computational Screening of Trillions of Metal–Organic Frameworks for High-Performance Methane Storage

Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective

Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective

Recent advances in computational modeling of MOFs: From molecular simulations to machine learning - ScienceDirect

ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT-Derived Partial Atomic Charges and Descriptors for Machine Learning

J. Compos. Sci., Free Full-Text

Nanomaterials, Free Full-Text

Flow diagram for the construction of CoRE MOF 2019 database