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…