Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization
This study investigates the use of machine learning models to predict solubility of
rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type …
rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type …
Derisking Crystallization Process Development and Scale-Up Using a Complementary,“Quick and Dirty” Digital Design
Á Borsos, C Hámori, E Szilágyi, A Spaits… - … Process Research & …, 2024 - ACS Publications
Despite the spread of digital (model and AI-based) techniques, the industry-standard
pharmaceutical crystallization design and scale-up is still based on experiments' design …
pharmaceutical crystallization design and scale-up is still based on experiments' design …
[HTML][HTML] Limited data based kinetic modeling and optimization of propionic acid synthesis over supported Rh/C catalyst
The importance and need for greener and more sustainable chemical processes and
technologies can hardly be overestimated. However, many industries still produce a …
technologies can hardly be overestimated. However, many industries still produce a …
Maximizing similarity: Using correlation coefficients to calibrate kinetic parameters in population balance models
Crystallization plays a crucial role as a separation and purification technique, particularly in
the chemical and pharmaceutical industries. By adjusting process parameters, the …
the chemical and pharmaceutical industries. By adjusting process parameters, the …