Machine learning–based prediction of paracetamol solubility and CO₂ density in supercritical systems using artificial rabbits optimization

Hadil Faris Alotaibi; Arwa Omar Al Khatib; Junainah Abd Hamid; Subbulakshmi Ganesan; Aman Shankhyan; Rajashree Panigrahi; Fadhil Faez Sead; Aashna Sinha

doi:10.1038/s41598-026-55333-y

Machine learning–based prediction of paracetamol solubility and CO₂ density in supercritical systems using artificial rabbits optimization

H Hadil Faris Alotaibi A Arwa Omar Al Khatib J Junainah Abd Hamid S Subbulakshmi Ganesan A Aman Shankhyan R Rajashree Panigrahi F Fadhil Faez Sead A Aashna Sinha

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 1, Issue 1

Published June 10, 2026

DOI 10.1038/s41598-026-55333-y

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

H

Hadil Faris Alotaibi

A

Arwa Omar Al Khatib

J

Junainah Abd Hamid

S

Subbulakshmi Ganesan

A

Aman Shankhyan

R

Rajashree Panigrahi

F

Fadhil Faez Sead

A

Aashna Sinha

Machine learning–based prediction of paracetamol solubility and CO₂ density in supercritical systems using artificial rabbits optimization

Article Details

Journal Info

Authors (8)

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