REVEALING PROCESSING STABILITY LANDSCAPE OF ORGANIC SOLAR CELLS WITH AUTOMATED RESEARCH PLATFORMS AND MACHINE LEARNING

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 Bookends 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 vari

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The history of the European native oyster Ostrea edulis in Northern Irish waters and the four phases of resource exploitation

An in-depth history of the European native oyster in Northern Irish waters has been absent from international and regional peer-reviewed publications.The knowledge of historical losses Bookends and a need to recover ecosystems for habitat and biodiversity purposes are primary drivers in an urgency to restore Ostrea edulis.However, a comprehensive r

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Different types of drug abusers prefrontal cortex activation patterns and based on machine-learning classification

Drug addiction can cause abnormal brain activation changes, which are the root cause of drug craving and brain function errors.This study enrolled drug abusers to determine the effects of different drugs on brain activation.A functional Seatbelt Attachment near-infrared spectroscopy (fNIRS) device was used for the research.This study was designed w

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Influence of concentration and ratio of macro elements in culture medium on the regeneration of grape meristems in vitro

The results of studies on the development of culture medium for initiation grape meristems into in vitro culture in order to increase their regenerative capacity during recovery from chronic diseases are presented.In the improved medium, in comparison with analogs, the total Phone Accessories content of macro salts was reduced and their ratio was o

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