Leveraging natural language processing to curate the tmCAT, tmPHOTO, tmBIO, and tmSCO datasets of functional transition metal complexes
The breadth of transition metal chemical space covered by databases such as the Cambridge Structural Database and the derived computational database tmQM is not conducive to application-specific modeling and the development of structure-property relationships. Here, we employ both supervised and uns...
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Veröffentlicht in: | Faraday discussions 2024-09 |
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Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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