Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry

Nanoporous materials are of great interest in many applications, such as catalysis, separation, and energy storage. The performance of these materials is closely related to their pore sizes, which are inefficient to determine through the conventional measurement of gas adsorption isotherms. Nuclear...

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Veröffentlicht in:Angewandte Chemie 2024-03, Vol.136 (13), p.n/a
Hauptverfasser: Fricke, Sophia N., Salgado, Mia, Menezes, Tamires, Costa Santos, Kátilla M., Gallagher, Neal B., Song, Ah‐Young, Wang, Jieyu, Engler, Kaitlyn, Wang, Yang, Mao, Haiyan, Reimer, Jeffrey A.
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