ARC–MOF: A Diverse Database of Metal-Organic Frameworks with DFT
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PDF) Recent advances in computational modeling of MOFs: From molecular simulations to machine learning
Acoustomicrofluidic assembly of oriented and simultaneously activated metal–organic frameworks
A database of ultrastable MOFs reassembled from stable fragments with machine learning models - ScienceDirect
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
Number of structures containing two or more types of arti
Recent advances in computational modeling of MOFs: From molecular simulations to machine learning - ScienceDirect
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
Integrating stability metrics with high-throughput computational screening of metal–organic frameworks for CO2 capture
Towards modeling spatiotemporal processes in metal–organic frameworks: Trends in Chemistry
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