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Owing to the rapid developments to improve the accuracy and efficiency of both experimental and computational investigative methodologies, the massive amounts of data generated have led the field of materials science into the fourth paradigm of data‐driven scientific research. This transition requires the development of authoritative and up‐to‐date frameworks for data‐driven approaches for material...
Crystallographic facets in a crystal carry interior properties and proffer rich functionalities in a wide range of application areas. However, rational prediction, on‐demand customization, and accurate synthesis of facets and facet junctions of a crystal are enormously desirable but still challenging. Herein, a framework of machine learning (ML)‐aided crystal facet design with ionic liquid controllable...
The cognitive radio network is intelligent in adapting to the dynamic network environment, and it also provides a new way to solve the application limitation of nowadays MAC protocols. In this paper, an adaptive MAC protocol selection scheme based on machine learning is proposed for cognitive radio networks. This scheme can combine the respective advantages of the competitive protocols and non-competitive...
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