Next-Generation Computational and Experimental Tools for Understanding Nucleation and Growth of Metal–Organic Frameworks
Source abstract
Abstract
In-situ characterization techniques, although complex, can provide a wealth of insight into material chemistry and evolution dynamics. Grasping the fundamental kinetics of material synthesis is essential to enhance and streamline these processes and facilitate easier scaleup. Metal–organic frameworks (MOFs), a class of porous crystalline materials discovered three decades ago, have been developed and implemented in various applications at the laboratory scale. However, only a few studies have explored the fundamental mechanisms of their formation that determine their physical structure and chemical properties. Independent experimental and theoretical investigations focusing on chemical kinetics have provided some understanding of the mechanisms governing MOF formation. However, more effort is needed to fully control their formation pathways and properties to enhance stability, optimize performance, and design strategies for scalable production. This Perspective highlights current techniques for studying MOF kinetics, discusses their limitations, and proposes multimodal experimental and theoretical protocols, emphasizing how improved data acquisition and multiscale approaches can advance scalable applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Machine Learning in Materials Science · Crystallization and Solubility Studies · Metal-Organic Frameworks: Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical Engineering
University of Illinois Chicago
Department of Chemical & Biomolecular Engineering
University of Notre Dame
University of Virginia
Funding
National Science Foundation · U.S. Department of Education
References (100+)
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