Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients in industrial crystallization

{{article.zuoZheEn}}

PDF(1361 KB)
PDF(1361 KB)
Front. Chem. Sci. Eng. ›› 2022, Vol. 16 ›› Issue (4) : 523-535. DOI: 10.1007/s11705-021-2083-5
RESEARCH ARTICLE

Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients in industrial crystallization

  • {{article.zuoZheEn}}
Author information +
History +

Highlights

{{article.highlightEn}}

Abstract

{{article.abstractEn}}

Author summary

{{article.authorSummayEn}}

Graphical abstract

Keywords

Cite this article

Download citation ▾
{{article.zuoZheEn_L}}. {{article.titleEn}}. Front. Chem. Sci. Eng., 2022, 16(4): 523‒535 https://doi.org/10.1007/s11705-021-2083-5

References

References

{{article.reference}}

RIGHTS & PERMISSIONS

{{article.copyright.year}} {{article.copyright.holder}}
Share on Mendeley
PDF(1361 KB)

Accesses

Citations

Detail

Sections
Recommended

/