Solid-liquid equilibrium solubility prediction of sulfanilamide in four binary solvent mixtures by using pure solvents solubility data from 278.15 to 318.15 K with the …
K Kodide, P Asadi, J Thati - Journal of Molecular Liquids, 2022 - Elsevier
The industrial application of sulfanilamide solubility in binary solvent mixtures is a critical
factor in drug development, assessment, as well as future improvement. The current work …
factor in drug development, assessment, as well as future improvement. The current work …
What can digitisation do for formulated product innovation and development?
Digitisation offers significant opportunities for the formulated product industry to transform
the way it works. Recent developments in the fields of artificial intelligence, machine …
the way it works. Recent developments in the fields of artificial intelligence, machine …
Three machine learning models for the 2019 Solubility Challenge
J Mitchell - ADMET and DMPK, 2020 - hrcak.srce.hr
Sažetak We describe three machine learning models submitted to the 2019 Solubility
Challenge. All are founded on tree-like classifiers, with one model being based on Random …
Challenge. All are founded on tree-like classifiers, with one model being based on Random …
Machine Learning for Solubility Prediction
T Zheng, JBO Mitchell, S Dobson - 2023 - researchsquare.com
The solubility of a chemical in water is a critical parameter in drug development and other
fields such as environmental chemistry and agrochemistry, but its in silico prediction …
fields such as environmental chemistry and agrochemistry, but its in silico prediction …