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

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

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

MOF studied for precombustion CO 2 capture. (A) Inorganic node and

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

Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening

Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening

Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening

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

Nanoengineering Metal–Organic Frameworks and Derivatives for Electrosynthesis of Ammonia

An updated roadmap for the integration of metal–organic frameworks with electronic devices and chemical sensors - Chemical Society Reviews (RSC Publishing) DOI:10.1039/C7CS00122C

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

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