通过范德华尔斯作用将单层石墨烯(Graphene)、单层二硫化钒(VS2)和单层氮化硼(BN)构建成Graphene/VS2/BN范德华三层异质结构,并将其与不同数量的锂结合,研究了其作为锂离子电池(Li-Ion Batterys,LIBs)中阳极电极材料的可行性.Graphene/V...通过范德华尔斯作用将单层石墨烯(Graphene)、单层二硫化钒(VS2)和单层氮化硼(BN)构建成Graphene/VS2/BN范德华三层异质结构,并将其与不同数量的锂结合,研究了其作为锂离子电池(Li-Ion Batterys,LIBs)中阳极电极材料的可行性.Graphene/VS_(2)/BN范德华三层异质结构具有-0.33 e V/A2的形成能,具有较强的稳定性,理论上可实现合成.同时,计算了Graphene/VS_(2)/BN范德华异质结构的平面内刚度,得出的杨氏模量(Y)为886.88 N/m,高于单层VS_(2)的Y(82.5 N/m),具有较好的力学性能.Graphene/VS_(2)/BN范德华三层异质结构表面和界面上吸附Li的吸附能(-5~-2 e V)远大于相应单层的吸附能,表明其对Li具有较好的吸附性能.Li在Graphene/VS_(2)/BN范德华三层异质结构的不同表面和界面处迁移时的扩散势垒非常小(0.3~0.6 e V),对电池速率性能极为有利.Graphene/VS_(2)/BN范德华三层异质结构在LIBs的阳极电极材料方面的应用具有广泛的前景.展开更多
In order to realize the intelligent mechanization of the last process of the fruit industry chains,the identification of fruit packing boxes is researched.A multi-view database is established to describe the omnidirec...In order to realize the intelligent mechanization of the last process of the fruit industry chains,the identification of fruit packing boxes is researched.A multi-view database is established to describe the omnidirectional attitudes of the fruit packing boxes.In order to reduce the data redundancy caused by multi-view acquisition,a new binary multi-view kernel principal component analysis network(BMKPCANet) is built,and a multi-view recognition method of fruit packing boxes is proposed based on the BMKPCANet and support vector machine(SVM).The experimental results show that the recognition accuracy of proposed BMKPCANet is 12.82% higher than PCANet and3.51% higher than KPCANet on average.The time consumption of proposed BMKPCANet is 7.74%lower than PCANet and 29.01% lower than KPCANet on average.This work has laid a theoretical foundation for multi-view recognition of 3 D objects and has a good practical application value.展开更多
文摘通过范德华尔斯作用将单层石墨烯(Graphene)、单层二硫化钒(VS2)和单层氮化硼(BN)构建成Graphene/VS2/BN范德华三层异质结构,并将其与不同数量的锂结合,研究了其作为锂离子电池(Li-Ion Batterys,LIBs)中阳极电极材料的可行性.Graphene/VS_(2)/BN范德华三层异质结构具有-0.33 e V/A2的形成能,具有较强的稳定性,理论上可实现合成.同时,计算了Graphene/VS_(2)/BN范德华异质结构的平面内刚度,得出的杨氏模量(Y)为886.88 N/m,高于单层VS_(2)的Y(82.5 N/m),具有较好的力学性能.Graphene/VS_(2)/BN范德华三层异质结构表面和界面上吸附Li的吸附能(-5~-2 e V)远大于相应单层的吸附能,表明其对Li具有较好的吸附性能.Li在Graphene/VS_(2)/BN范德华三层异质结构的不同表面和界面处迁移时的扩散势垒非常小(0.3~0.6 e V),对电池速率性能极为有利.Graphene/VS_(2)/BN范德华三层异质结构在LIBs的阳极电极材料方面的应用具有广泛的前景.
基金Supported by the National Natural Science Foundation of China(No.52075306).
文摘In order to realize the intelligent mechanization of the last process of the fruit industry chains,the identification of fruit packing boxes is researched.A multi-view database is established to describe the omnidirectional attitudes of the fruit packing boxes.In order to reduce the data redundancy caused by multi-view acquisition,a new binary multi-view kernel principal component analysis network(BMKPCANet) is built,and a multi-view recognition method of fruit packing boxes is proposed based on the BMKPCANet and support vector machine(SVM).The experimental results show that the recognition accuracy of proposed BMKPCANet is 12.82% higher than PCANet and3.51% higher than KPCANet on average.The time consumption of proposed BMKPCANet is 7.74%lower than PCANet and 29.01% lower than KPCANet on average.This work has laid a theoretical foundation for multi-view recognition of 3 D objects and has a good practical application value.
