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1 Ergebnisse
1
SELFIES RxNet: Empowering Reaction Synthesis Through Symbol..:
, In:
2023 IEEE EMBS R9 Conference
,
Farfan, Daniel
;
Gomez-Marquez, Carolina
;
Sandoval-Nunez, Dania
.. - p. 1-3 , 2023
Link:
https://doi.org/10.1109/IEEECONF60929.2023.10525659
RT T1
2023 IEEE EMBS R9 Conference
: T1
SELFIES RxNet: Empowering Reaction Synthesis Through Symbolic Notations and AI
UL https://suche.suub.uni-bremen.de/peid=ieee-10525659&Exemplar=1&LAN=DE A1 Farfan, Daniel A1 Gomez-Marquez, Carolina A1 Sandoval-Nunez, Dania A1 Paredes, Omar A1 Morales, J. Alejandro YR 2023 K1 Deep learning K1 Predictive models K1 Transformers K1 Chemical reactions K1 Artificial intelligence K1 Due to the fact that generative models are capable of generating novel data K1 they can create de novo reactions that could be more efficient and K1 in the future K1 create complete metabolic pathways SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/IEEECONF60929.2023.10525659 DO https://doi.org/10.1109/IEEECONF60929.2023.10525659 SF ELIB - SuUB Bremen
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