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| 1 | Selected multiferroic perovskite oxides containing rare earth and transition metal elements显示文摘Multiferroic materials are currently the subject of intensive research worldwide, because of both their fundamental scientific problems and also possible technological applications. Among a number of candidates in the laboratories, compounds consisting of rare earth and transition metal perovskite oxides have very unusual structural and physical properties. In contrast to the so-called type I multiferroics, ferroelectricity may be induced by magnetic ordering or by applying external fields. In this review, the recent progress on the experimental and theoretical studies of some selected type II multiferroics is presented, with a focus on the perovskite oxides containing rare earth and transition metal elements. The rare earth orthoferrite crystals, rare earth titanate strained film, and rare earthbased superlattices are systematically reviewed to provide a broad overview on their promising electric, magnetic, and structural properties. The recent experimental advances in single-crystal growth by optical floating zone method are also presented. First-principles investigations, either supported by experimental results or awaiting for experimental verifications, are shown to offer useful guidance for the future applications of unconventional multiferroics. | Shunbo Hu Lei Chen Yabei Wu Liming Yu Xinluo Zhao Shixun Cao Jincang Zhang Wei Ren | 2014 | Chinese Science Bulletin2014，59，36： | 2 |
| 2 | Research on Parzen window based on improved Gaussian matrix in medical image registration显示文摘 | Hu Shunbo Jiang Zhaolin Zhu Xiangrong | 2012 | Journal of Computational Information Systems2012，8，12： | 1 |
| 3 | A comprehensive first-principle study of borophene-based nano gas sensor with gold electrodes显示文摘Using density functional theory combined with nonequilibrium Green’s function method,the transport properties of borophene-based nano gas sensors with gold electrodes are calculated,and comprehensive understandings regarding the effects of gas molecules,MoS2 substrate and gold electrodes to the transport properties of borophene are made.Results show that borophene-based sensors can be used to detect and distinguish CO,NO,NO2 and NH3 gas molecules,MoS2 substrate leads to a nonlinear behavior on the current-voltage characteristic,and gold electrodes provide charges to borophene and form a potential barrier,which reduced the current values compared to the current of the systems without gold electrodes.Our studies not only provide useful information on the computationally design of borophene-based gas sensors,but also help understand the transport behaviors and underlying physics of 2D metallic materials with metal electrodes. | Yueyue Tian Houping Yang Junjun Li Shunbo Hu Shixun Cao Wei Ren Yin Wang | 2022 | Frontiers of physics2022，17，1： | 0 |
| 4 | Defect-mediated Rashba engineering for optimizing electrical transport in thermoelectric BiTeI显示文摘The Rashba effect plays a vital role in electronic structures and related functional properties.The strength of the Rashba effect can be measured by the Rashba parameter α_(R);it is desirable to manipulate α_(R) to control the functional properties.The current work illustrates how α_(R) can be systematically tuned by doping,taking BiTeI as an example. | Xin Li Ye Sheng Lihua Wu Shunbo Hu Jiong Yang David J.Singh Jihui Yang Wenqing Zhang | 2020 | npj Computational Materials2020，，1： | 0 |
| 5 | Application of Opening and Closing Morphology in Deep Learning-Based Brain Image Registration显示文摘In order to improve the registration accuracy of brain magnetic resonance images(MRI),some deep learning registration methods use segmentation images for training model.How-ever,the segmentation values are constant for each label,which leads to the gradient variation con-centrating on the boundary.Thus,the dense deformation field(DDF)is gathered on the boundary and there even appears folding phenomenon.In order to fully leverage the label information,the morphological opening and closing information maps are introduced to enlarge the non-zero gradi-ent regions and improve the accuracy of DDF estimation.The opening information maps supervise the registration model to focus on smaller,narrow brain regions.The closing information maps supervise the registration model to pay more attention to the complex boundary region.Then,opening and closing morphology networks(OC_Net)are designed to automatically generate open-ing and closing information maps to realize the end-to-end training process.Finally,a new registra-tion architecture,VM_(seg+oc),is proposed by combining OC_Net and VoxelMorph.Experimental results show that the registration accuracy of VM_(seg+oc) is significantly improved on LPBA40 and OASIS1 datasets.Especially,VM_(seg+oc) can well improve registration accuracy in smaller brain regions and narrow regions. | Yue Yang Shiyu Liu Shunbo Hu Lintao Zhang Jitao Li Meng Li Fuchun Zhang | 2023 | Journal of Beijing Institute of Technology2023，32，5： | 0 |
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