Fully Automated Optimization of Robot‐Based MOF Thin Film Growth via Machine Learning Approaches

Fully Automated Optimization of Robot‐Based MOF Thin Film Growth via Machine Learning Approaches

Abstract Metal–organic frameworks (MOFs), have emerged as ideal class of materials for the identification of structure–property relationships and for the targeted design of multifunctional materials for diverse applications. While the powder form is most common, for the integration of MOFs into devi...

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Bibliographic Details
Main Authors: Lena Pilz, Carsten Natzeck, Jonas Wohlgemuth, Nina Scheuermann, Peter G. Weidler, Ilona Wagner, Christof Wöll, Manuel Tsotsalas
Format: Article
Language:English
Published: Wiley-VCH 2023-01-01
Series:Advanced Materials Interfaces
Subjects:
automated syntheses
l‐b‐l
machine learning
metal–organic framework
optimizations
orientation control
Online Access:https://doi.org/10.1002/admi.202201771

Internet

https://doi.org/10.1002/admi.202201771

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