Titration calorimetry has been used to study the thermodynamics of reaction in toluene solution of 2-thenoyltriflueroacetone(TTA)complexes of rare earths(RE=Y,Nd,Eu,Yb)with N,N dimethylheptyl-acetamide(N503)at 298.15 ...Titration calorimetry has been used to study the thermodynamics of reaction in toluene solution of 2-thenoyltriflueroacetone(TTA)complexes of rare earths(RE=Y,Nd,Eu,Yb)with N,N dimethylheptyl-acetamide(N503)at 298.15 K.The heat of the reaction was determined with a TRONAC Model 1250 automatic isoperibol calorimeter.The data and figures of titration curve were recorded by the com- puter automatically.An iterative technique of least-square analysis was used to calculate the equilibrium con- stants and the thermodynamic functions including the entropy and free energy changes,minimizing the error square sum by a computer program.展开更多
Technology scaling results in the propagation-induced pulse broadening and quenching（PIPBQ） effect become more noticeable.In order to effectively evaluate the soft error rate for combinational logic circuits,a soft ...Technology scaling results in the propagation-induced pulse broadening and quenching（PIPBQ） effect become more noticeable.In order to effectively evaluate the soft error rate for combinational logic circuits,a soft error rate analysis approach considering the PIPBQ effect is proposed.As different original pulse propagating through logic gate cells,pulse broadening and quenching are measured by HSPICE.After that,electrical effect look-up tables（EELUTs） for logic gate cells are created to evaluate the PIPBQ effect.Sensitized paths are accurately retrieved by the proposed re-convergence aware sensitized path search algorithm.Further,by propagating pulses on these paths to simulate fault injection,the PIPBQ effect on these paths can be quantified by EELUTs.As a result,the soft error rate of circuits can be effectively computed by the proposed technique.Simulation results verify the soft error rate improvement comparing with the PIPBQ-not-aware method.展开更多
Effect of chemical component on shape memory effect (SME) of Fe-Mn-Si-Ni-C-RE shape memory alloys was studied by bent measurement, thermal cycle training, SEM etc. Results of study indicate that the alloys with high M...Effect of chemical component on shape memory effect (SME) of Fe-Mn-Si-Ni-C-RE shape memory alloys was studied by bent measurement, thermal cycle training, SEM etc. Results of study indicate that the alloys with high Mn content (25%) appeare better SME, especially in lower strain. SME improves evidently when Si is higher content, especially it’s range from 3% up to 4%. But brittleness of Fe-Mn-Si-Ni-C-RE alloy increases by increasing the Si content. SME of the alloy is weakening gradually as carbon content increases under small strain (3%). But in the condition of large strain (above 6%), SME of the alloy whose carbon content ranges from 0.1 % to 0.12% shows small decreasing range, especially of alloy with the addition of compound RE.展开更多
Effect of chemical component on shape memory effect (SME) of Fe-Mn-Si-Ni-C-REshape memory alloys was studied by bent measurement, thermal cycle training, SEM etc. Results ofstudy indicate that the alloys with high Mn ...Effect of chemical component on shape memory effect (SME) of Fe-Mn-Si-Ni-C-REshape memory alloys was studied by bent measurement, thermal cycle training, SEM etc. Results ofstudy indicate that the alloys with high Mn content (25%) appeare better SME, especially in lowerstrain. SME improves evidently when Si is higher content, especially it's range from 3% up to 4%.But brittleness of Fe-Mn-Si-Ni-C-RE alloy increases by increasing the Si content. SME of the alloyis weakening gradually as carbon content increases under small strain (3%). But in the condition oflarge strain (above 6%), SME of the alloy whose carbon content ranges from 0.1 % to 0.12% showssmall decreasing range, especially of alloy with the addition of compound RE.展开更多
反事实预测和选择偏差是因果效应估计中的重大挑战。为对潜在协变量的复杂混杂分布进行有效表征,同时增强反事实预测泛化能力,提出一种面向工业因果效应估计应用的重加权对抗变分自编码器网络(RVAENet)模型。针对混杂分布去偏问题,借鉴...反事实预测和选择偏差是因果效应估计中的重大挑战。为对潜在协变量的复杂混杂分布进行有效表征,同时增强反事实预测泛化能力,提出一种面向工业因果效应估计应用的重加权对抗变分自编码器网络(RVAENet)模型。针对混杂分布去偏问题,借鉴域适应思想,采用对抗学习机制对由变分自编码器(VAE)获得的隐含变量进行表示学习的分布平衡;在此基础上,通过学习样本倾向性权重对样本进行重加权,进一步缩小实验组(Treatment)与对照组(Control)样本间的分布差异。实验结果表明,在工业真实场景数据集的两个场景下,所提模型的提升曲线下的面积(AUUC)比TEDVAE(Treatment Effect with Disentangled VAE)分别提升了15.02%、16.02%;在公开数据集上,所提模型的平均干预效果(ATE)和异构估计精度(PEHE)普遍取得最优结果。展开更多
基金This project was supported by the National Natural Science Foundation of China
文摘Titration calorimetry has been used to study the thermodynamics of reaction in toluene solution of 2-thenoyltriflueroacetone(TTA)complexes of rare earths(RE=Y,Nd,Eu,Yb)with N,N dimethylheptyl-acetamide(N503)at 298.15 K.The heat of the reaction was determined with a TRONAC Model 1250 automatic isoperibol calorimeter.The data and figures of titration curve were recorded by the com- puter automatically.An iterative technique of least-square analysis was used to calculate the equilibrium con- stants and the thermodynamic functions including the entropy and free energy changes,minimizing the error square sum by a computer program.
基金supported by the National Natural Science Foundation of China under Grant No.61274036No.61106038+1 种基金No.61371025and No.61474036
文摘Technology scaling results in the propagation-induced pulse broadening and quenching（PIPBQ） effect become more noticeable.In order to effectively evaluate the soft error rate for combinational logic circuits,a soft error rate analysis approach considering the PIPBQ effect is proposed.As different original pulse propagating through logic gate cells,pulse broadening and quenching are measured by HSPICE.After that,electrical effect look-up tables（EELUTs） for logic gate cells are created to evaluate the PIPBQ effect.Sensitized paths are accurately retrieved by the proposed re-convergence aware sensitized path search algorithm.Further,by propagating pulses on these paths to simulate fault injection,the PIPBQ effect on these paths can be quantified by EELUTs.As a result,the soft error rate of circuits can be effectively computed by the proposed technique.Simulation results verify the soft error rate improvement comparing with the PIPBQ-not-aware method.
文摘Effect of chemical component on shape memory effect (SME) of Fe-Mn-Si-Ni-C-RE shape memory alloys was studied by bent measurement, thermal cycle training, SEM etc. Results of study indicate that the alloys with high Mn content (25%) appeare better SME, especially in lower strain. SME improves evidently when Si is higher content, especially it’s range from 3% up to 4%. But brittleness of Fe-Mn-Si-Ni-C-RE alloy increases by increasing the Si content. SME of the alloy is weakening gradually as carbon content increases under small strain (3%). But in the condition of large strain (above 6%), SME of the alloy whose carbon content ranges from 0.1 % to 0.12% shows small decreasing range, especially of alloy with the addition of compound RE.
文摘Effect of chemical component on shape memory effect (SME) of Fe-Mn-Si-Ni-C-REshape memory alloys was studied by bent measurement, thermal cycle training, SEM etc. Results ofstudy indicate that the alloys with high Mn content (25%) appeare better SME, especially in lowerstrain. SME improves evidently when Si is higher content, especially it's range from 3% up to 4%.But brittleness of Fe-Mn-Si-Ni-C-RE alloy increases by increasing the Si content. SME of the alloyis weakening gradually as carbon content increases under small strain (3%). But in the condition oflarge strain (above 6%), SME of the alloy whose carbon content ranges from 0.1 % to 0.12% showssmall decreasing range, especially of alloy with the addition of compound RE.
文摘反事实预测和选择偏差是因果效应估计中的重大挑战。为对潜在协变量的复杂混杂分布进行有效表征,同时增强反事实预测泛化能力,提出一种面向工业因果效应估计应用的重加权对抗变分自编码器网络(RVAENet)模型。针对混杂分布去偏问题,借鉴域适应思想,采用对抗学习机制对由变分自编码器(VAE)获得的隐含变量进行表示学习的分布平衡;在此基础上,通过学习样本倾向性权重对样本进行重加权,进一步缩小实验组(Treatment)与对照组(Control)样本间的分布差异。实验结果表明,在工业真实场景数据集的两个场景下,所提模型的提升曲线下的面积(AUUC)比TEDVAE(Treatment Effect with Disentangled VAE)分别提升了15.02%、16.02%;在公开数据集上,所提模型的平均干预效果(ATE)和异构估计精度(PEHE)普遍取得最优结果。
