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Model-data fusion in digital twins of large scale dynamical systems
(2022-07)
Digital twins (DTs) are virtual entities that serve as the real-time digital counterparts of actual physical systems across their life-cycle. In a typical application of DTs, the physical system provides sensor measurements ...
Application of Raman and infrared microscopy coupled with chemometrics for the forensic examination of automotive clear coats and paint smears
(2022-07)
Modern automotive paints typically use thinner undercoat and color coat layers protected by a thicker clear coat layer. All too often, a clear coat is the only layer of automotive paint left at the crime scene. Current ...
Studying employee absenteeism due to health-related factors: A data-science approach
(2022-07)
United States employers are spending approximately $950 billion on healthcare benefits, and these costs are impeding their ability to compete in their respective markets. Furthermore, these costs do not include employee ...
Leveraging atomistic simulations and machine learning for the design of ionic liquids as electrolytes for battery application
(2022-05)
Ionic liquids are classes of salts that are often found in a liquid state composed entirely of ions. They have gained widespread interest in the research community because of several unique and desirable features, such as ...