Materials horizons
Machine learning to design metal-organic frameworks: progress and challenges from a data efficiency perspective.
Diego A Gómez-Gualdrón, Tatiane Gercina de Vilas, Katherine Ardila, Fernando Fajardo-Rojas, Alexander J Pak
Published: 202510.1039/d5mh01467k
Abstract
This review critically examines work at the intersection of machine learning (ML) and metal-organic frameworks (MOFs). The modular nature of MOFs enables immense design flexibility and applicability to a wide range of applications. However, the combi…
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