Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it
demands advances—at the materials, devices and systems levels—for the efficient …

Context Predictive maintenance is a technique for creating a more sustainable, safe, and
profitable industry. One of the key challenges for creating predictive maintenance systems is …

Manufacturing enterprises are facing the need to align themselves to the new information
technologies (IT) and respond to the new challenges of variable market demand. One of the …

The digital twin is a crucial technology for realizing smart manufacturing and industrial digital
transformation, which has received extensive attention and research from industry and …

A Digital Twin (DT) is a set of computer-generated models that map a physical object into a
virtual space. Both physical and virtual elements exchange information to monitor, simulate …

Worldwide, transportation accounts for 18% of global carbon dioxide emissions (as of 2019).
In order to battle the impending threat of climate change, consumers and industry must …

Abstract In recent years, Digital Twins (DT) have been implemented in different industrial
sectors, in several applications areas such as design, production, manufacturing, and …

Digital twinning is one of the top ten technology trends in the last couple of years, due to its
high applicability in the industrial sector. The integration of big data analytics and artificial …

Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

While there has been a recent growth of interest in the Digital Twin, a variety of definitions
employed across industry and academia remain. There is a need to consolidate research …