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A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry
Research article (Green Chemistry, 2016) · cited 50× · AI/ML
A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry
Summary
A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry is a scholarly article[1].
Key Facts
A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry's instance of is recorded as scholarly article[2].
References
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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). A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-driven-strategy-for-predicting-greenness-scores-rationally-comparing-synthetic-routes-and-benchmarking-pmi-outcom
MLA“A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-data-driven-strategy-for-predicting-greenness-scores-rationally-comparing-synthetic-routes-and-benchmarking-pmi-outcom.
BibTeX@misc{4ortxyz_a-data-driven-strategy-for-predicting-greenness-scores-rationally-comparing-synthetic-routes-and-benchmarking-pmi-outcom_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-driven-strategy-for-predicting-greenness-scores-rationally-comparing-synthetic-routes-and-benchmarking-pmi-outcom}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry — https://4ort.xyz/entity/a-data-driven-strategy-for-predicting-greenness-scores-rationally-comparing-synthetic-routes-and-benchmarking-pmi-outcom (retrieved 2026-05-24)
