This study explores the evolution and impact of research on the challenges and
opportunities in the implementation of artificial intelligence (AI) in manufacturing between …

This article presents a state-of-the-art review of the emerging field of physics-informed
machine learning (PIML) models in additive manufacturing for process-structure-property …

Abstract Hybrid (ie, grey-box) models are a powerful and flexible paradigm for predictive
science and engineering. Grey-box models use data-driven constructs to incorporate …

The development of lithium-ion battery technology has ensured that battery thermal
management systems are an essential component of the battery pack for next-generation …

The limited electrical performance of microelectronic devices caused by low inter-particle
connectivity and inferior printing quality is still the greatest hurdle to overcome for Aerosol jet …

In response to the escalating demand for flexible devices in applications such as wearables,
sensors, and touch panels, there is a need for innovative fabrication approaches for devices …

The sustainable phaseout of high global warming potential hydrofluorocarbon (HFC)
refrigerant mixtures requires novel solvents, such as ionic liquids (ILs), for new HFC reuse …

Advanced manufacturing processes are often based on complex multiphysics phenomena
that are either poorly understood or are computationally too expensive to simulate in the …

The application of additive manufacturing (AM) has expanded to previously unseen areas in
business and academia. The ability to fabricate complex structures using AM includes …

Clay-based nanocomposites (CBNC) contain one or multiple clay materials within a matrix
system (typically a polymer). There is a growing interest in clay nanocomposites due to their …