AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

The terms "artificial intelligence," "machine learning," and "deep learning" appear constantly in discussions of formulation development, often used interchangeably as if they describe the same ...

As formulation chemistry continues to evolve, companies constantly seek ways to optimize their formulation processes to achieve better product performance, improved stability, and reduced costs. In ...

As Oviedo-Rondon (2014) pointed out, various models have been developed but failed to gain widespread acceptance. The models are, for the most part, very good attempts to advance from least-cost ...

Since the introduction of metabolic models and flux balance analysis (FBA) in systems biology, several attempts have been made to add expression data. However, directly accounting for enzyme and mRNA ...

Department of Chemical Engineering & Materials Science, University of Minnesota, 421 Washington Ave. S.E., Minneapolis, Minnesota 55455, United States ...

Abstract: This paper develops a mathematical formulation of a margin problem in an automotive battery sizing use case. This formulation is done thanks to theoretical models of margin. This enables to ...

Abstract: This paper discusses the implementation of nonlinear material properties in a 2-D magnetostatic finite-element solver for radially symmetric models. It is shown that, when saturation occurs, ...