Metal–organic frameworks (MOFs) are highly porous and versatile materials studied extensively for applications such as carbon capture and water harvesting. However, computing phonon-mediated ...
Machine learning methodologies have recently made significant inroads into various scientific fields, enabling a plethora of applications, including the field of computational chemistry, such as ...
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