Revealing processing stability landscape of organic solar cells with automated research platforms and machine learning

Abstract We use an automated research platform combined with machine learning to assess and understand the resilience against air and light during production of organic photovoltaic (OPV) devices from over 40 donor and acceptor combinations.The standardized protocol and high reproducibility of the platform results in a dataset of high variety and v

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A Novel Visual Measurement Method for Three-Dimensional Trajectory of Underwater Moving Objects Based on Deep Learning

For deep sea equipment suspension installation used in marine engineering, the multi-camera video motion analysis method is used to calculate the three-dimensional underwater trajectory CEMENT CLAY of the underwater engineering structure.Considering difficulty in underwater modeling caused by the problems of light scattering and refraction under wa

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