The binding of the therapeutic agents to the nucleic acids is one of the paramount issues in
the drug development area that is studied by various techniques. Electrochemical studies …

The efficient development of robust tableting processes is challenging due to the lack of
mechanistic understanding on the impact of raw material properties and process parameters …

We present a new post-processing methodology to analyse powder flow image data
gathered via dynamic angle of repose tests. We aim to expand the flow descriptors, allowing …

In this paper, the material library approach was used to uncover the pattern of tabletability
change and related risk for tablet formulation design under the roll compaction and dry …

This work presents a novel approach to select gravimetric dosing configurations for
continuous unit operations in pharmaceutical processing. It optimizes material, time, and …

We present a numerical study of bulk properties of binary particle blends via DEM.
Properties of settled particle bulks, such as packing fraction, are computed. We investigated …

This paper presents a system of hybrid models that combine both mechanistic and data-
driven approaches to predict physical powder blend properties from their raw component …

The purpose of this study is to demonstrate the usefulness of machine learning (ML) for
analyzing a material attribute database from tablets produced at different granulation scales …

Principal component analysis (PCA) and partial least squares regression (PLS) were
combined in this study to identify key material descriptors determining tabletability in direct …

The material library is an emerging, new data-driven approach for developing
pharmaceutical process models. How many materials or samples should be involved in a …