Search Results - "Shang, Chunlei"

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  1. 1

    Advances in machine learning- and artificial intelligence-assisted material design of steels by Pan, Guangfei, Wang, Feiyang, Shang, Chunlei, Wu, Honghui, Wu, Guilin, Gao, Junheng, Wang, Shuize, Gao, Zhijun, Zhou, Xiaoye, Mao, Xinping

    “…With the rapid development of artificial intelligence technology and increasing material data, machine learning- and artificial intelligence-assisted design of…”
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    Journal Article
  2. 2

    The Characteristic Microstructures and Properties of Steel-Based Alloy via Additive Manufacturing by Shang, Chunlei, Wu, Honghui, Pan, Guangfei, Zhu, Jiaqi, Wang, Shuize, Wu, Guilin, Gao, Junheng, Liu, Zhiyuan, Li, Ruidi, Mao, Xinping

    Published in Materials (28-03-2023)
    “…Differing from metal alloys produced by conventional techniques, metallic products prepared by additive manufacturing experience distinct solidification…”
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    Journal Article
  3. 3

    Improved data-driven performance of Charpy impact toughness via literature-assisted production data in pipeline steel by Shang, ChunLei, Wang, ChuanJun, Wu, HongHui, Liu, WenYue, Chen, YiMian, Pan, GuangFei, Wang, ShuiZe, Wu, GuiLin, Gao, JunHeng, Zhao, HaiTao, Zhang, ChaoLei, Mao, XinPing

    Published in Science China. Technological sciences (01-07-2023)
    “…Pipeline transportation is one of the most economical ways to transport crude oil and natural gas over long distances. High toughness is one of the important…”
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    Journal Article
  4. 4

    A review on the advance of low-temperature toughness in pipeline steels by Bai, Penghui, Shang, Chunlei, Wu, Hong-Hui, Ma, Guoqiang, Wang, Shuize, Wu, Guilin, Gao, Junheng, Chen, Yimian, Zhang, Jinyong, Zhu, Jiaming, Mao, Xinping

    “…The escalating global demand for energy resources, particularly oil and natural gas, underlines the critical need for enhancing the performance of pipeline…”
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    Journal Article
  5. 5

    The interpretable descriptors for fatigue performance of wrought aluminum alloys by Bai, Penghui, Shang, Chunlei, Zhu, Dexin, Zhao, Haitao, Liu, Yufan, Kuang, Jianlong, Li, Fengfan, Ji, Jiahao, Wang, Shuize, Wu, Guilin, Gao, Junheng, Zhang, Chaolei, Wu, Hong-Hui

    “…Aluminum alloys are extensively utilized in the transportation and aerospace industries due to their excellent processability and corrosion resistance. A key…”
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    Journal Article
  6. 6

    Generation of gradient photonic moiré lattice fields by Shang, Chunlei, Lu, Chengzhen, Tang, Siwei, Gao, Yuanmei, Wen, Zengrun

    Published in Optics express (30-08-2021)
    “…We designed and generated gradient photonic moiré lattice fields comprising three varying periodic moiré wavefields. Because of the common twisted angles…”
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    Journal Article
  7. 7

    The optimal control of mine drainage systems based on hybrid Petri nets by Zhengzhong Gao, Chenhui Zhao, Chunlei Shang, Chong Tan

    Published in 2017 Chinese Automation Congress (CAC) (01-10-2017)
    “…A hybrid Petri nets model for the optimal control of mine drainage systems is presented. This model uses continuous Petri nets to describe and analyze…”
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    Conference Proceeding
  8. 8

    A transfer learning strategy for tensile strength prediction in austenitic stainless steel across temperatures by Zhu, Dexin, Wu, Hong-Hui, Hou, Faguo, Zhang, Jinyong, Gao, Zilin, Shang, Chunlei, Wang, Shuize, Wu, Guilin, Gao, Junheng, Pan, Kunming, Hou, Liudong, Ma, Jing, Lookman, Turab, Mao, Xinping

    Published in Scripta materialia (01-10-2024)
    “…Austenitic stainless steel plays a pivotal role in the nuclear industry with exceptional mechanical properties and corrosion resistance, wherein…”
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    Journal Article
  9. 9

    A quantitative relation for the ductile-brittle transition temperature in pipeline steel by Shang, Chunlei, Zhu, Dexin, Wu, Hong-Hui, Bai, Penghui, Hou, Faguo, Li, Jiaye, Wang, Shuize, Wu, Guilin, Gao, Junheng, Zhou, Xiaoye, Lookman, Turab, Mao, Xinping

    Published in Scripta materialia (15-04-2024)
    “…An accurate description of pipeline steel at low temperatures requires a comprehensive understanding of its ductile-brittle transition temperature (DBTT). In…”
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    Journal Article
  10. 10
  11. 11

    First-principle study on the segregation and strengthening behavior of solute elements at grain boundary in BCC iron by Wang, Feiyang, Wu, Hong-Hui, Zhou, Xiaoye, Bai, Penghui, Shang, Chunlei, Wang, Shuize, Wu, Guilin, Gao, Junheng, Zhao, Haitao, Zhang, Chaolei, Mao, Xinping

    Published in Journal of materials science & technology (01-08-2024)
    “…•The segregation and strengthening effects of 33 solutes were studied.Solute segregation energy correlates negatively with atomic radius•Segregated Ni, Co, Ti,…”
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    Journal Article
  12. 12

    Application of machine learning for predicting the service performance of metallic materials by Fengfan LI, Jianlong KUANG, Jiahao JI, Chunlei SHANG, Honghui WU, Shuize WANG, Xinping MAO

    Published in 工程科学学报 (01-01-2024)
    “…In materials genetic engineering, data-driven machine learning (ML) technology is driving materials research into a new paradigm after theory, experiment, and…”
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    Journal Article
  13. 13

    Observation of three-dimensional periodic vortex photonic lattices by Lyu, Jing, Lu, Chengzhen, Shang, Chunlei, Gao, Song, Qi, Xinyuan, Cai, Yangjian, Gao, Yuanmei

    Published in Superlattices and microstructures (01-06-2019)
    “…An optical vortices beam with a helical phase term shows a new degree of freedom, namely orbital angular momentum (OAM). Here, we generate three-dimensional…”
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    Journal Article