Home ›
Entities
› academia
› “Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models
“Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models
Research article (Chemical Science, 2018) · cited 469× · AI/ML
“Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models
Summary
“Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models is a scholarly article[1].
Key Facts
“Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). “Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models. Retrieved May 24, 2026, from https://4ort.xyz/entity/found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models
MLA““Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models.
BibTeX@misc{4ortxyz_found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{“Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models}}, year = {2026}, url = {https://4ort.xyz/entity/found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): “Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models — https://4ort.xyz/entity/found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models (retrieved 2026-05-24)