Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery

Li, Chunhua; Bao, Luqian; Ji, Yixin; Tian, Zhehang; Cui, Mengyao; Shi, Yubo; Zhao, Zhilei; Wang, Xianyou

doi:10.1016/j.ccr.2024.215888

Coordination Chemistry Reviews

2024

DOI: 10.1016/j.ccr.2024.215888

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Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery

Chunhua Li,

Luqian Bao,

Yixin Ji

et al.

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Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery

Cited by 5 publications

References 148 publications

Prediction of electrochemical properties of La–Y–Ni-based hydrogen storage alloys based on machine learning

Prediction of electrochemical properties of La–Y–Ni-based hydrogen storage alloys based on machine learning

Two heads are better than one: Unravelling the potential Impact of Artificial Intelligence in nanotechnology

Molecular separation applications of next-generation graphene oxide composite membranes with enhanced properties: Current status and future prospects

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