Neural networks are a type of machine learning algorithm that inspired by the structure and function human brain. They consist layers interconnected “neurons” which process transmit information. can learn to perform variety tasks being trained on large datasets, they have been successfully applied wide range problems, including image speech recognition, natural language processing (NLP), predic...

Low-dimensional metal complexes are versatile materials with tunable physical and chemical properties that make these systems promising platforms for caloric applications. In this context, work proposes a quantum Stirling cycle based on dinuclear complex as working substance. The results show the operational modes can be managed when considering change in magnetic coupling of material temperatu...