Finding a reduction of complex, high-dimensional dynamics to its essential, low-dimensional "heart" remains challenging yet necessary prerequisite for designing efficient numerical approaches. Machine learning methods have the potential provide general framework automatically discover such representations. In this paper, we consider multiscale stochastic systems with local slow-fast time scale ...

Increasingly heterogeneous and hierarchical parallel architectures are now mainstream, however, most of the traditional programming models are lowlevel and explicit, limiting portability, scalability, and productivity. Moreover, performance of applications that overspecify evaluation degree and order will suffer as they fail to adapt to changing architectures. This paper surveys the properties,...

plastic recycling is the process of recovering scrap or waste plastics and reprocessing thematerial into useful products that sometimes differ completely in form from their original state. an importantissue in plastic recovery and recycling is that plastic waste usually contains a variety of plastics that differ intheir physical and chemical properties. separation of recovered plastics into dis...

Nonadiabatic dynamics generally defines the entire evolution of electronic excitations in optically active molecular materials. It is commonly associated with a number of fundamental and complex processes such as intraband relaxation, energy transfer, and light harvesting influenced by the spatial evolution of excitations and transformation of photoexcitation energy into electrical energy via c...

Charge carrier dynamics in amorphous semiconductors has been a topic of intense research that has been propelled by modern applications in thin-film solar cells, transistors and optical sensors. Charge transport in these materials differs fundamentally from that in crystalline semiconductors owing to the lack of long-range order and high defect density. Despite the existence of well-established...