Home ›
Entities
› academia
› Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS
Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS
Research article (Journal of Molecular Liquids, 2024) · cited 15× · AI/ML
Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS
Summary
Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS is a scholarly article[1].
Key Facts
Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approach-to-predict-hansen-solubility-parameters-of-cocrystal-coformers-via-integrating-group-contribut
MLA“Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approach-to-predict-hansen-solubility-parameters-of-cocrystal-coformers-via-integrating-group-contribut.
BibTeX@misc{4ortxyz_machine-learning-approach-to-predict-hansen-solubility-parameters-of-cocrystal-coformers-via-integrating-group-contribut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approach-to-predict-hansen-solubility-parameters-of-cocrystal-coformers-via-integrating-group-contribut}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS — https://4ort.xyz/entity/machine-learning-approach-to-predict-hansen-solubility-parameters-of-cocrystal-coformers-via-integrating-group-contribut (retrieved 2026-05-24)