MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks
<jats:title>Abstract</jats:title><jats:p>We report a workflow and the output of a natural language processing (NLP)-based procedure to mine the extant metal–organic framework (MOF) literature describing structurally characterized MOFs and their solvent removal and thermal stabiliti...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2022
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Online Access: | https://hdl.handle.net/1721.1/141730 |