Deep learning models have been shown to have great advantages in answer selection tasks.The existing models,which employ encoder-decoder recurrent neural network(RNN),have been demonstrated to be effective.However,the...Deep learning models have been shown to have great advantages in answer selection tasks.The existing models,which employ encoder-decoder recurrent neural network(RNN),have been demonstrated to be effective.However,the traditional RNN-based models still suffer from limitations such as 1)high-dimensional data representation in natural language processing and 2)biased attentive weights for subsequent words in traditional time series models.In this study,a new answer selection model is proposed based on the Bidirectional Long Short-Term Memory(Bi-LSTM)and attention mechanism.The proposed model is able to generate the more effective question-answer pair representation.Experiments on a question answering dataset that includes information from multiple fields show the great advantages of our proposed model.Specifically,we achieve a maximum improvement of 3.8%over the classical LSTM model in terms of mean average precision.展开更多
The microstructure and tensile properties of(Fe_(50)Mn_(25)Ni_(10)Cr_(15))_(100-x)Al_(x)(x=0-8 at.%)medium-entropy alloys(MEAs)were investigated.It was found that the crystalline structure changes from face-centered c...The microstructure and tensile properties of(Fe_(50)Mn_(25)Ni_(10)Cr_(15))_(100-x)Al_(x)(x=0-8 at.%)medium-entropy alloys(MEAs)were investigated.It was found that the crystalline structure changes from face-centered cubic(FCC)single phase to FCC+body-centered cubic(BCC)dual-phase with the increase of Al content.Therefore,the addition of Al elements with large atomic size could induce solid solution strengthening and dual-phase heterogeneous structure strengthening.Correspondingly,the present MEAs exhibit excellent combinations of yield strength,ultimate tensile strength(UTS)and ductility both at 298 and 77 K.Among the MEAs,the(Fe_(50)Mn_(25)Ni_(10)Cr_(15))_(95)Al_(5) alloy has a remarkable combination of cryogenic UTS(1077 MPa)and ductility(~85%),and has lower raw material costs than the reported high-entropy alloys(HEAs)and MEAs.The correlation among microstructure and mechanical properties and the corresponding strengthening mechanism were clarified.展开更多
基金This work was supported in part by the National Natural Science Foundation of China under Grant 61572326,and Grant 61802258the Natural Science Foundation of Shanghai under Grant 18ZR1428300the Shanghai Committee of Science and Technology under Grant 17070502800 and Grant 16JC1403000.
文摘Deep learning models have been shown to have great advantages in answer selection tasks.The existing models,which employ encoder-decoder recurrent neural network(RNN),have been demonstrated to be effective.However,the traditional RNN-based models still suffer from limitations such as 1)high-dimensional data representation in natural language processing and 2)biased attentive weights for subsequent words in traditional time series models.In this study,a new answer selection model is proposed based on the Bidirectional Long Short-Term Memory(Bi-LSTM)and attention mechanism.The proposed model is able to generate the more effective question-answer pair representation.Experiments on a question answering dataset that includes information from multiple fields show the great advantages of our proposed model.Specifically,we achieve a maximum improvement of 3.8%over the classical LSTM model in terms of mean average precision.
基金financially supported by the National Natural Science Foundation of China(Nos.U1704159 and 51701183)the China Postdoctoral Science Foundation(No.2018M630834)supported by Center for Modern Analysis and Gene Sequencing of Zhengzhou University。
文摘The microstructure and tensile properties of(Fe_(50)Mn_(25)Ni_(10)Cr_(15))_(100-x)Al_(x)(x=0-8 at.%)medium-entropy alloys(MEAs)were investigated.It was found that the crystalline structure changes from face-centered cubic(FCC)single phase to FCC+body-centered cubic(BCC)dual-phase with the increase of Al content.Therefore,the addition of Al elements with large atomic size could induce solid solution strengthening and dual-phase heterogeneous structure strengthening.Correspondingly,the present MEAs exhibit excellent combinations of yield strength,ultimate tensile strength(UTS)and ductility both at 298 and 77 K.Among the MEAs,the(Fe_(50)Mn_(25)Ni_(10)Cr_(15))_(95)Al_(5) alloy has a remarkable combination of cryogenic UTS(1077 MPa)and ductility(~85%),and has lower raw material costs than the reported high-entropy alloys(HEAs)and MEAs.The correlation among microstructure and mechanical properties and the corresponding strengthening mechanism were clarified.
