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ORCID"Low-cost machine learning approach to the prediction of transition metal ..."
Gianmarco Terrones et al. (2022)
- Gianmarco Terrones, Chenru Duan, Aditya Nandy, Heather J. Kulik:
Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties. CoRR abs/2209.08595 (2022)
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