At the present modern age, perhaps nanocomposites (NC) s are the most attractive
materials which hold their situation in almost all of our life's aspects. Among different kinds of …

Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that
can automatically learn from data and can perform tasks such as predictions and decision …

Surfaces with biological functionalities are of great interest for biomaterials, tissue
engineering, biophysics, and for controlling biological processes. The layer‐by‐layer (LbL) …

Layer-by-layer film (LbL) coatings made of polyelectrolytes are a powerful tool for surface
modification, including the applications in the biomedical field, for food packaging, and in …

In this study, machine learning algorithms (MLA) were employed to predict and classify the
tensile strength of polymeric films of different compositions as a function of processing …

In this study, machine learning (ML)-assisted regression modeling was conducted to predict
the thermal decomposition temperatures and explore the factors that correlate with the …

Polymers show a transition from ductile-to brittle fracture behavior at decreasing
temperatures. Consequently, the material toughness has to be determined across wide …

We create and evaluate computational models for the prediction of onset thermal
decomposition temperatures for energetic materials using machine learning techniques. Our …

The reactivity hazard of reactive chemicals has been reported as one of the main causes for
fire and explosion in process industries. The detected exothermic onset temperature (T o) is …

Industrial chemical processes may involve thermal risks as most of the reactions performed
are exothermic, the chemicals used are often thermally unstable, and the operating …