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 australis palette 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

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Graph Representation Learning and Its Applications: A Survey

Graphs are data structures that effectively represent relational data in the real world.Graph representation learning is a significant task since it could facilitate various downstream tasks, such as node classification, link prediction, etc.Graph representation learning aims to map graph entities to low-dimensional vectors while preserving graph s

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American place names as the reflection of American mentality

The paper is aimed at revealing the American mentality through toponyms.The object of the research are the names of towns and states of the USA with the exception of those of Indian origin.The following questions in the light of cognitive linguistics are analysed: carrying of the hamamelis crema names from the native land, the repetitions of one an

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