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1,642 results on '"Tian, Dan"'

7. Cyclegan Network for Sheet Metal Welding Drawing Translation

Author

Song, Zhiwei, Yao, Hui, Tian, Dan, and Zhan, Gaohui

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

In intelligent manufacturing, the quality of machine translation engineering drawings will directly affect its manufacturing accuracy. Currently, most of the work is manually translated, greatly reducing production efficiency. This paper proposes an automatic translation method for welded structural engineering drawings based on Cyclic Generative Adversarial Networks (CycleGAN). The CycleGAN network model of unpaired transfer learning is used to learn the feature mapping of real welding engineering drawings to realize automatic translation of engineering drawings. U-Net and PatchGAN are the main network for the generator and discriminator, respectively. Based on removing the identity mapping function, a high-dimensional sparse network is proposed to replace the traditional dense network for the Cyclegan generator to improve noise robustness. Increase the residual block hidden layer to increase the resolution of the generated graph. The improved and fine-tuned network models are experimentally validated, computing the gap between real and generated data. It meets the welding engineering precision standard and solves the main problem of low drawing recognition efficiency in the welding manufacturing process. The results show. After training with our model, the PSNR, SSIM and MSE of welding engineering drawings reach about 44.89%, 99.58% and 2.11, respectively, which are superior to traditional networks in both training speed and accuracy.

Published
2022

29. Phase-controllable growth of ultrathin 2D magnetic FeTe crystals

Author

Kang, Lixing, Ye, Chen, Zhao, Xiaoxu, Zhou, Xieyu, Hu, Junxiong, Li, Qiao, Ouyang, Qingling, Yang, Jiefu, Hu, Dianyi, Chen, Jieqiong, Cao, Xun, Zhang, Yong, Xu, Manzhang, Di, Jun, Tian, Dan, Song, Pin, Kutty, Govindan, Zeng, Qingsheng, Fu, Qundong, Deng, Ya, Zhou, Jiadong, Pennycook, Stephen J., Ariando, Ariando, Miao, Feng, Hong, Guo, Huang, Yizhong, Yong, Ken-Tye, Ji, Wei, Wang, Xiao Renshaw, and Liu, Zheng

Subjects
Condensed Matter - Materials Science
Abstract

Two-dimensional (2D) magnets with intrinsic ferromagnetic/antiferromagnetic (FM/AFM) ordering are highly desirable for future spintronics devices. However, the synthesis of 2D magnetic crystals, especially the direct growth on SiO2/Si substrate, is just in its infancy. Here, we report a chemical vapor deposition (CVD)-based rational growth approach for the synthesis of ultrathin FeTe crystals with controlled structural and magnetic phases. By precisely optimizing the growth temperature (Tgrowth), FeTe nanoplates with either layered tetragonal or non-layered hexagonal phase can be controlled with high-quality. The two controllable phases lead to square and triangular morphologies with a thickness down to 3.6 and 2.8 nm, respectively. More importantly, transport measurements reveal that tetragonal FeTe is antiferromagnetic with a Neel temperature (TN) about 71.8 K, while hexagonal FeTe is ferromagnetic with a Curie temperature (TC) around 220 K. Theoretical calculations indicate that the ferromagnetic order in hexagonal FeTe is originated from a concomitant lattice distortion and the spin-lattice coupling. This study represents a major step forward in the CVD growth of 2D magnetic materials on SiO2/Si substrates and highlights on their potential applications in the future spintronic devices., Comment: 15 pages, 5 figures

Published
2019
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