Litcius/Paper detail

Application of machine learning to a material library for modeling of relationships between material properties and tablet properties

Yoshihiro Hayashi, Yuri Nakano, Yuki Marumo, Shungo Kumada, Kotaro Okada, Yoshinori Onuki

2021International Journal of Pharmaceutics26 citationsDOI

Topics & Concepts

Material propertiesCompression (physics)Regression analysisUltimate tensile strengthPartial least squares regressionAbsorption of waterPercentileMathematicsMaterials scienceArtificial intelligenceComputer scienceBiological systemMachine learningStatisticsComposite materialBiologySpectroscopy and Chemometric AnalysesDrug Solubulity and Delivery SystemsComputational Drug Discovery Methods
Application of machine learning to a material library for modeling of relationships between material properties and tablet properties | Litcius