most citedMachine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

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cond-mat.mtrl-sci2024★ 1 cited

Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Alin Marin Elena, Prathami Divakar Kamath, Théo Jaffrelot Inizan +3

Metal-organic frameworks (MOFs) are highly porous and versatile materials studied extensively for applications such as carbon capture and water harvesting. However, computing phono…