9 Papers
3 Citations
Borui Li is an academic researcher from China National Petroleum Corporation. The author has contributed to research in topics: Computer science & Pattern recognition (psychology). The author has an hindex of 1, co-authored 3 publications.
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Papers
Nanopore-Patterned CuSe Drives the Realization of the PbSe-CuSe Lateral Heterostructure.
Borui Li,Jing Wang,Qilong Wu,Qi Tian,Ping Li,Li Zhang,Long-Jing Yin,Yuan Tian,P. K. Johnny Wong,Zhihui Qin,Lijie Zhang +10 more
TL;DR: In this article , a two-step method based on molecular beam epitaxy for the growth of the PbSe-CuSe lateral heterostructure on the Cu(111) substrate was demonstrated.
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Moiré-induced bandgap tuning by varying electric dipole in InSe/CuSe vertical heterostructure
Borui Li,Meysam Bagheri Tagani,Sahar Izadi Vishkayi,Yumu Yang,Jing Wang,Qi Tian,Li Zhang,Long-Jing Yin,Yuan Tian,Lijie Zhang,Zhihui Qin +10 more
TL;DR: In this paper , the authors combine scanning tunneling microscopy/spectroscopy and density functional theory calculations to investigate the moiré potential induced bandgap tuning in an InSe/CuSe vertical heterostructure synthesized by a two-step of molecular beam epitaxy.
The Application of Refracturing Technique in Horizontal Wells of Daqing Oilfield
Wang Xianjun,Wang Wei,Borui Li,Li Dongxu,Gu Mingyong,Tang Pengfei,Zhang Hao,Liu Yu,Li Yonghuan,Wang Jing +9 more
- 12 Nov 2018
TL;DR: In this article, two optimization methods have been formed, including the chart method and the dynamic method, to improve the performance of the horizontal well fracturing in Daqing Oilfield.
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Selective formation of ultrathin PbSe on Ag(111)
Jing Wang,Meysam Bagheri Tagani,Li Zhang,Yu Xia,Qilong Wu,Borui Li,Qi Tian,Yuan Tian,Long-Jing Yin,Lijie Zhang,Zhihui Qin +10 more
TL;DR: In this paper , the ultrathin PbSe synthesized via sequential molecular beam epitaxy on Ag(111) is reported, and the scanning tunneling microscopy is used to resolve the atomic structure and confirm the selective formation of ultrathIN PbSE through the reaction between Ag5Se2 and Pb, as further evidenced by the theoretical calculation.
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DIT-NET: Joint Deformable Network and Intra-class Transfer GAN for Cross-domain 3D Neonatal Brain MRI Segmentation
Borui Li,Xinge You,Qinmu Peng,Jing Wang,Chuanwu Yang +4 more
TL;DR: Li et al. as discussed by the authors proposed a joint framework with deformable network and Intra-class Transfer GAN (DIT-NET), which is trained to perform intra-class intensity and shape transformation for 3D cross-domain segmentation.
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