| 1 | WSe2 2D p-type semiconductor-based electronic devices for information technology:Design,preparation,and applications显示文摘The pioneering exfoliation of monolayer tungsten diselenide has greatly inspired researchers toward semiconducting applications.WSe2 belongs to a family of transition-metal dichalcogenides.Similar to graphene,WSe2 and analogous dichalcogenides have layered structures with weak van der Waals interactions between two adjacent layers.First,the readers are presented with the fundamentals of WSe2,such as types,morphologies,and properties.Here,we report the characterization principles and practices such as microscopy,spectroscopy,and diffraction.Second,the methods for obtaining high-quality WSe2,such as exfoliation,hydrothermal and chemical vapor deposition,are briefly listed.With advantages of light weight,flexibility,and high quantum efficiency,2D materials may have a niche in optoelectronics as building blocks in p-n junctions.Therefore,we introduce a state-of-the-art demonstration of heterostructure devices employing the p-type WSe2 semiconductor.The device architectures include field-effect transistors,photodetectors,gas sensors,and photovoltaic solar cells.Due to its unique electronic,optical,and energy band properties,WSe2 has been increasingly investigated due to the conductivity of the p-type charge carrier upon palladium contact.Eventually,the dynamic research on WSe2 and van der Waals heterostructures is summarized to arouse the passion of the 2D research community. | Qilin Cheng Jinbo Pang Dehui Sun Jingang Wang Shu Zhang Fan Liu Yuke Chen Ruiqi Yang Na Liang Xiheng Lu Yanchen Ji Jian Wang Congcong Zhang Yuanhua Sang Hong Liu Weijia Zhou | 2020 | InfoMat2020，2，4： | 5 |
| 2 | A Two-Phase Paradigm for Joint Entity-Relation Extraction显示文摘An exhaustive study has been conducted to investigate span-based models for the joint entity and relation extraction task.However,these models sample a large number of negative entities and negative relations during the model training,which are essential but result in grossly imbalanced data distributions and in turn cause suboptimal model performance.In order to address the above issues,we propose a two-phase paradigm for the span-based joint entity and relation extraction,which involves classifying the entities and relations in the first phase,and predicting the types of these entities and relations in the second phase.The two-phase paradigm enables our model to significantly reduce the data distribution gap,including the gap between negative entities and other entities,aswell as the gap between negative relations and other relations.In addition,we make the first attempt at combining entity type and entity distance as global features,which has proven effective,especially for the relation extraction.Experimental results on several datasets demonstrate that the span-based joint extraction model augmented with the two-phase paradigm and the global features consistently outperforms previous state-ofthe-art span-based models for the joint extraction task,establishing a new standard benchmark.Qualitative and quantitative analyses further validate the effectiveness the proposed paradigm and the global features. | Bin Ji Hao Xu Jie Yu Shasha Li JunMa Yuke Ji Huijun Liu | 2023 | Computers, Materials & Continua2023，，1： | 1 |
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