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

Ultrathin water-stable metal-organic framework membranes for ion separation

Number of structures containing two or more types of arti

Recent trends on density functional theory–assisted calculations of structures and properties of metal–organic frameworks and metal–organic frameworks-derived nanocarbons, Journal of Materials Research

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

PDF) Inverse design of metal-organic frameworks for direct air capture of CO2 via deep reinforcement learning

Nanomaterials, Free Full-Text

Recent advancements in metal–organic frameworks integrating quantum dots (QDs@MOF) and their potential applications