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 Descriptors for Machine Learning

Two-dimensional UMAP projection of descriptors of a varying number of

The top 10 most common a) organic; and b) inorganic substructures in

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

The Chemistry of Metal Organic Framework Materials

Nanoengineering Metal–Organic Frameworks and Derivatives for Electrosynthesis of Ammonia

Revisiting the MIL-101 metal–organic framework: design, synthesis, modifications, advances, and recent applications - Journal of Materials Chemistry A (RSC Publishing) DOI:10.1039/D1TA06238G

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

PDF) Recent advances in computational modeling of MOFs: From molecular simulations to machine learning

Number of structures containing two or more types of arti

Integrating stability metrics with high-throughput computational screening of metal–organic frameworks for CO2 capture

Integrating stability metrics with high-throughput computational screening of metal–organic frameworks for CO2 capture

Expanding Linker Dimensionality in Metal‐organic Frameworks for sub‐Ångstrom Pore Control for Separation Applications - Macreadie - 2023 - Angewandte Chemie International Edition - Wiley Online Library